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ORCID32nd CIKM 2023: Birmingham, UK
- Ingo Frommholz, Frank Hopfgartner, Mark Lee, Michael Oakes, Mounia Lalmas, Min Zhang, Rodrygo L. T. Santos:
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023. ACM 2023
Keynote Talks
- Yulan He
:
Interpretable Natural Language Understanding. 1-2 - Chirag Shah:
Generative AI and the Future of Information Access. 3 - Steffen Staab:
Knowledge Graphs for Knowing More and Knowing for Sure. 4
Full Papers
- Ayan Acharya, Siyuan Gao, Ankan Saha, Borja Ocejo, Kinjal Basu, Sathiya Keerthi Selvaraj, Rahul Mazumder, Aman Gupta, Parag Agrawal:
Optimizing for Member Value in an Edge Building Marketplace. 5-14 - Medina Andresel, Trung-Kien Tran, Csaba Domokos, Pasquale Minervini, Daria Stepanova:
Combining Inductive and Deductive Reasoning for Query Answering over Incomplete Knowledge Graphs. 15-24 - Arian Askari, Mohammad Aliannejadi, Amin Abolghasemi, Evangelos Kanoulas, Suzan Verberne:
CLosER: Conversational Legal Longformer with Expertise-Aware Passage Response Ranker for Long Contexts. 25-35 - Jiaqi Bai, Hongcheng Guo, Jiaheng Liu, Jian Yang, Xinnian Liang, Zhao Yan, Zhoujun Li:
GripRank: Bridging the Gap between Retrieval and Generation via the Generative Knowledge Improved Passage Ranking. 36-46 - Xigang Bao, Mengyuan Tian, Zhiyuan Zha, Biao Qin:
MPMRC-MNER: A Unified MRC framework for Multimodal Named Entity Recognition based Multimodal Prompt. 47-56 - Oren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein:
Deep Integrated Explanations. 57-67 - Moran Beladev, Gilad Katz, Lior Rokach, Uriel Singer, Kira Radinsky:
GraphERT- Transformers-based Temporal Dynamic Graph Embedding. 68-77 - Vedangi Bengali, Nate Veldt:
Faster Approximation Algorithms for Parameterized Graph Clustering and Edge Labeling. 78-87 - Lorenzo Betti, Carlo Abrate, Francesco Bonchi, Andreas Kaltenbrunner:
Relevance-based Infilling for Natural Language Counterfactuals. 88-98 - Wendong Bi, Xueqi Cheng, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen:
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer. 99-109 - Shuqing Bian, Xingyu Pan, Wayne Xin Zhao, Jinpeng Wang, Chuyuan Wang, Ji-Rong Wen:
Multi-modal Mixture of Experts Represetation Learning for Sequential Recommendation. 110-119 - Qingtian Bian, Jiaxing Xu, Hui Fang, Yiping Ke:
CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning. 120-130 - Luca Bonomi, Sepand Gousheh, Liyue Fan:
Enabling Health Data Sharing with Fine-Grained Privacy. 131-141 - Zeyd Boukhers, Azeddine Bouabdallah, Cong Yang, Jan Jürjens:
Beyond Trading Data: The Hidden Influence of Public Awareness and Interest on Cryptocurrency Volatility. 142-151 - Kathleen Cachel, Elke A. Rundensteiner:
Fair&Share: Fast and Fair Multi-Criteria Selections. 152-162 - Ruichu Cai, Zeqin Yang, Weilin Chen, Yuguang Yan, Zhifeng Hao:
Generalization Bound for Estimating Causal Effects from Observational Network Data. 163-172 - Xuheng Cai, Lianghao Xia, Xubin Ren, Chao Huang:
How Expressive are Graph Neural Networks in Recommendation? 173-182 - Yinqiong Cai, Keping Bi, Yixing Fan, Jiafeng Guo, Wei Chen, Xueqi Cheng:
L2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations. 183-192 - Zekun Cai, Renhe Jiang, Xinyu Yang, Zhaonan Wang, Diansheng Guo, Hill Hiroki Kobayashi, Xuan Song, Ryosuke Shibasaki:
MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation. 193-202 - Guoxin Chen, Yongqing Wang, Fangda Guo, Qinglang Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng:
Causality and Independence Enhancement for Biased Node Classification. 203-212 - Lu Chen, Ruqing Zhang, Wei Huang, Wei Chen, Jiafeng Guo, Xueqi Cheng:
Inducing Causal Structure for Abstractive Text Summarization. 213-223 - Jie Chen, Tong Liu, Ruiyuan Li:
Region Profile Enhanced Urban Spatio-Temporal Prediction via Adaptive Meta-Learning. 224-233 - Liyue Chen, Linian Wang, Jinyu Xu, Shuai Chen, Weiqiang Wang, Wenbiao Zhao, Qiyu Li, Leye Wang:
Knowledge-inspired Subdomain Adaptation for Cross-Domain Knowledge Transfer. 234-244 - Yuyan Chen, Qiang Fu, Yichen Yuan, Zhihao Wen, Ge Fan, Dayiheng Liu, Dongmei Zhang, Zhixu Li, Yanghua Xiao:
Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models. 245-255 - Jushuo Chen, Feifei Dai, Xiaoyan Gu, Haihui Fan, Jiang Zhou, Bo Li, Weiping Wang:
Learning Pair-Centric Representation for Link Sign Prediction with Subgraph. 256-265 - Shengyu Chen, Nasrin Kalanat, Simon Topp, Jeffrey M. Sadler, Yiqun Xie, Zhe Jiang, Xiaowei Jia:
Meta-Transfer-Learning for Time Series Data with Extreme Events: An Application to Water Temperature Prediction. 266-275 - Yuyan Chen, Qiang Fu, Ge Fan, Lun Du, Jian-Guang Lou, Shi Han, Dongmei Zhang, Zhixu Li, Yanghua Xiao:
Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models. 276-285 - Chen Chen, Bo He, Jing Yuan, Chunyan Hou, Xiaojie Yuan:
Incorporating Constituent Syntax into Grammatical Error Correction with Multi-Task Learning. 286-295 - Wei Chen, Lili Zhao, Pengfei Luo, Tong Xu, Yi Zheng, Enhong Chen:
HEProto: A Hierarchical Enhancing ProtoNet based on Multi-Task Learning for Few-shot Named Entity Recognition. 296-305 - Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng:
Continual Learning for Generative Retrieval over Dynamic Corpora. 306-315 - Jialei Chen, Yuanbo Xu, Pengyang Wang, Yongjian Yang:
Deep Generative Imputation Model for Missing Not At Random Data. 316-325 - Xuxin Cheng, Wanshi Xu, Zhihong Zhu, Hongxiang Li, Yuexian Zou:
Towards Spoken Language Understanding via Multi-level Multi-grained Contrastive Learning. 326-336 - Xuxin Cheng, Zhihong Zhu, Yaowei Li, Hongxiang Li, Yuexian Zou:
DAS-CL: Towards Multimodal Machine Translation via Dual-Level Asymmetric Contrastive Learning. 337-347 - Jaeho Choi, Yura Kim, Kwang-Ho Kim, Sung-Hwa Jung, Ikhyun Cho:
PCT-CycleGAN: Paired Complementary Temporal Cycle-Consistent Adversarial Networks for Radar-Based Precipitation Nowcasting. 348-358 - Harshita Chopra, Atanu R. Sinha, Sunav Choudhary, Ryan A. Rossi, Paavan Kumar Indela, Veda Pranav Parwatala, Srinjayee Paul, Aurghya Maiti:
Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint. 359-368 - Federico Cinus, Aristides Gionis, Francesco Bonchi:
Rebalancing Social Feed to Minimize Polarization and Disagreement. 369-378 - Anthony M. Colas, Haodi Ma, Xuanli He, Yang Bai, Daisy Zhe Wang:
Can Knowledge Graphs Simplify Text? 379-389 - Sunhao Dai, Yuqi Zhou, Jun Xu, Ji-Rong Wen:
Dually Enhanced Delayed Feedback Modeling for Streaming Conversion Rate Prediction. 390-399 - Victor David, Raphaël Fournier-S'niehotta, Nicolas Travers:
NeoMaPy: A Parametric Framework for Reasoning with MAP Inference on Temporal Markov Logic Networks. 400-409 - Yujia Ding, Huan Li, Ke Chen, Lidan Shou:
TPUF: Enhancing Cross-domain Sequential Recommendation via Transferring Pre-trained User Features. 410-419 - Pengfei Ding, Yan Wang, Guanfeng Liu:
Cross-heterogeneity Graph Few-shot Learning. 420-429 - Guanting Dong, Zechen Wang, Jinxu Zhao, Gang Zhao, Daichi Guo, Dayuan Fu, Tingfeng Hui, Chen Zeng, Keqing He, Xuefeng Li, Liwen Wang, Xinyue Cui, Weiran Xu:
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER. 430-440 - Qian Dong, Yiding Liu, Qingyao Ai, Haitao Li, Shuaiqiang Wang, Yiqun Liu, Dawei Yin, Shaoping Ma:
I3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval. 441-451 - Hang Dong, Jiaoyan Chen, Yuan He, Yinan Liu, Ian Horrocks:
Reveal the Unknown: Out-of-Knowledge-Base Mention Discovery with Entity Linking. 452-462 - Zhongjie Duan, Chengyu Wang, Cen Chen, Jun Huang, Weining Qian:
Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models. 463-472 - Chenghua Duan, Wei Fan, Wei Zhou, Hu Liu, Junhao Wen:
CLSPRec: Contrastive Learning of Long and Short-term Preferences for Next POI Recommendation. 473-482 - Ziwei Fan, Zhiwei Liu, Shelby Heinecke, Jianguo Zhang, Huan Wang, Caiming Xiong, Philip S. Yu:
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training. 483-493 - Yongfu Fan, Jin Chen, Yongquan Jiang, Defu Lian, Fangda Guo, Kai Zheng:
Batch-Mix Negative Sampling for Learning Recommendation Retrievers. 494-503 - Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Yan Zheng, Liang Wang, Junpeng Wang, Xin Dai, Zhongfang Zhuang, Wei Zhang:
Spatial-Temporal Graph Boosting Networks: Enhancing Spatial-Temporal Graph Neural Networks via Gradient Boosting. 504-513 - Shuai Fan, Jinping Gou, Yang Li, Jiaxing Bai, Chen Lin, Wanxian Guan, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng:
BOMGraph: Boosting Multi-scenario E-commerce Search with a Unified Graph Neural Network. 514-523 - Yao Fu, Junhong Wan, Junlan Yu, Weihao Jiang, Shiliang Pu:
Cognitive-inspired Graph Redundancy Networks for Multi-source Information Fusion. 524-534 - Yuan Fu, Shuncheng Liu, Yuyang Xia, Fangda Guo, Kai Zheng:
Cross-Scenario Maneuver Decision with Adaptive Perception for Autonomous Driving. 535-544 - Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Nguyen Quoc Viet Hung, Hongzhi Yin:
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks. 545-555 - Vahid Ghafouri, Vibhor Agarwal, Yong Zhang, Nishanth Sastry, Jose M. Such, Guillermo Suarez-Tangil:
AI in the Gray: Exploring Moderation Policies in Dialogic Large Language Models vs. Human Answers in Controversial Topics. 556-565 - Jhony H. Giraldo, Konstantinos Skianis, Thierry Bouwmans, Fragkiskos D. Malliaros:
On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks. 566-576 - Ming Gu, Gaoming Yang, Sheng Zhou, Ning Ma, Jiawei Chen, Qiaoyu Tan, Meihan Liu, Jiajun Bu:
Homophily-enhanced Structure Learning for Graph Clustering. 577-586 - Yunchuan Guan, Yu Liu, Ke Zhou, Junyuan Huang:
Hierarchical Meta-Learning with Hyper-Tasks for Few-Shot Learning. 587-596 - Quanlong Guan, Fang Xiao, Xinghe Cheng, Liangda Fang, Ziliang Chen, Guanliang Chen, Weiqi Luo:
KG4Ex: An Explainable Knowledge Graph-Based Approach for Exercise Recommendation. 597-607 - Zihan Guan, Lichao Sun, Mengnan Du, Ninghao Liu:
Attacking Neural Networks with Neural Networks: Towards Deep Synchronization for Backdoor Attacks. 608-618 - Hangzhi Guo, Feiran Jia, Jinghui Chen, Anna Cinzia Squicciarini, Amulya Yadav:
RoCourseNet: Robust Training of a Prediction Aware Recourse Model. 619-628 - Tong Guo, Xuanping Li, Haitao Yang, Xiao Liang, Yong Yuan, Jingyou Hou, Bingqing Ke, Chao Zhang, Junlin He, Shunyu Zhang, Enyun Yu, Wenwu Ou:
Query-dominant User Interest Network for Large-Scale Search Ranking. 629-638 - Aibo Guo, Xiang Zhao, Zhen Tan, Weidong Xiao:
MGICL: Multi-Grained Interaction Contrastive Learning for Multimodal Named Entity Recognition. 639-648 - Sihan Guo, Ting Bai, Weihong Deng:
Targeted Shilling Attacks on GNN-based Recommender Systems. 649-658 - Hao Guo, Weixin Zeng, Jiuyang Tang, Xiang Zhao:
Interpretable Fake News Detection with Graph Evidence. 659-668 - Zhimeng Guo, Jialiang Li, Teng Xiao, Yao Ma, Suhang Wang:
Towards Fair Graph Neural Networks via Graph Counterfactual. 669-678 - Rishabh Gupta, Venktesh V, Mukesh K. Mohania, Vikram Goyal:
James ate 5 oranges = Steve bought 5 pencils: Structure-Aware Denoising for Paraphrasing Word Problems. 679-688 - Sumin Han, Youngjun Park, Minji Lee, Jisun An, Dongman Lee:
Enhancing Spatio-temporal Traffic Prediction through Urban Human Activity Analysis. 689-698 - Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan:
On Root Cause Localization and Anomaly Mitigation through Causal Inference. 699-708 - Xinrui He, Tianxin Wei, Jingrui He:
Robust Basket Recommendation via Noise-tolerated Graph Contrastive Learning. 709-719 - Zhankui He, Zhouhang Xie, Rahul Jha, Harald Steck, Dawen Liang, Yesu Feng, Bodhisattwa Prasad Majumder, Nathan Kallus, Julian J. McAuley:
Large Language Models as Zero-Shot Conversational Recommenders. 720-730 - Zhiyu He, Shaorun Zhang, Peijie Sun, Jiayu Li, Xiaohui Xie, Min Zhang, Yiqun Liu:
Understanding User Immersion in Online Short Video Interaction. 731-740 - Bowei He, Xu He, Renrui Zhang, Yingxue Zhang, Ruiming Tang, Chen Ma:
Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System. 741-750 - Danula Hettiachchi, Kaixin Ji, Jenny Kennedy, Anthony McCosker, Flora D. Salim, Mark Sanderson, Falk Scholer, Damiano Spina:
Designing and Evaluating Presentation Strategies for Fact-Checked Content. 751-761 - Maria Heuss, Daniel Cohen, Masoud Mansoury, Maarten de Rijke, Carsten Eickhoff:
Predictive Uncertainty-based Bias Mitigation in Ranking. 762-772 - Yuting Hong, Shiwei Tong, Wei Huang, Yan Zhuang, Qi Liu, Enhong Chen, Xin Li, Yuanjing He:
Search-Efficient Computerized Adaptive Testing. 773-782 - Muntasir Hoq, Sushanth Reddy Chilla, Melika Ahmadi Ranjbar, Peter Brusilovsky, Bita Akram:
SANN: Programming Code Representation Using Attention Neural Network with Optimized Subtree Extraction. 783-792 - Zheng Hu, Satoshi Nakagawa, Liang Luo, Yu Gu, Fuji Ren:
Celebrity-aware Graph Contrastive Learning Framework for Social Recommendation. 793-802 - Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang, Ru Li, Jeff Z. Pan:
HyperFormer: Enhancing Entity and Relation Interaction for Hyper-Relational Knowledge Graph Completion. 803-812 - Haozhe Hu, Yongquan Jiang, Yan Yang, Jim X. Chen:
Enhanced Template-Free Reaction Prediction with Molecular Graphs and Sequence-based Data Augmentation. 813-822 - Qi Hu, Yangqiu Song:
Independent Distribution Regularization for Private Graph Embedding. 823-832 - Zhihui Hu, Yao Fu, Hong Zhao, Xiaoyu Cai, Weihao Jiang, Shiliang Pu:
Liberate Pseudo Labels from Over-Dependence: Label Information Migration on Sparsely Labeled Graphs. 833-842 - Hengchang Hu, Wei Guo, Yong Liu, Min-Yen Kan:
Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems. 843-853 - Ping-Chia Huang, Yueh-Li Chen, Yi-Syuan Liou, Bing-Chen Tsai, Chun-Chieh Wu, Winston H. Hsu:
STAMINA (Spatial-Temporal Aligned Meteorological INformation Attention) and FPL (Focal Precip Loss): Advancements in Precipitation Nowcasting for Heavy Rainfall Events. 854-863 - Chengzhi Huang, Hui Li:
Single-User Injection for Invisible Shilling Attack against Recommender Systems. 864-873 - Zixian Huang, Jiaying Zhou, Chenxu Niu, Gong Cheng:
Spans, Not Tokens: A Span-Centric Model for Multi-Span Reading Comprehension. 874-884 - Wenzhen Huang, Tong Li, Yuting Cao, Zhe Lyu, Yanping Liang, Li Yu, Depeng Jin, Junge Zhang, Yong Li:
Safe-NORA: Safe Reinforcement Learning-based Mobile Network Resource Allocation for Diverse User Demands. 885-894 - Eun Woo Im, Junsung Shin, Sungyong Baik, Tae Hyun Kim:
Deep Variational Bayesian Modeling of Haze Degradation Process. 895-904 - Myung-Hwan Jang, Yun-Yong Ko, Hyuck-Moo Gwon, Ikhyeon Jo, Yongjun Park, Sang-Wook Kim:
SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication. 923-933 - Lucas Jarnac, Miguel Couceiro, Pierre Monnin:
Relevant Entity Selection: Knowledge Graph Bootstrapping via Zero-Shot Analogical Pruning. 934-944 - Hao Jiang, Chuanzhen Li, Juanjuan Cai, Runyu Tian, Jingling Wang:
Self-supervised Contrastive Enhancement with Symmetric Few-shot Learning Towers for Cold-start News Recommendation. 945-954 - Guanyu Jiang, Fuzhen Zhuang, Bowen Song, Tianyi Zhang, Deqing Wang:
PriSHAP: Prior-guided Shapley Value Explanations for Correlated Features. 955-964 - Junji Jiang, Hongke Zhao, Ming He, Likang Wu, Kai Zhang, Jianping Fan:
Knowledge-Aware Cross-Semantic Alignment for Domain-Level Zero-Shot Recommendation. 965-975 - Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Xing Xie, Sunghun Kim:
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation. 976-986 - Juyong Jiang, Binqing Wu, Ling Chen, Kai Zhang, Sunghun Kim:
Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting. 987-996 - Chenzhi Jiang, Yin Jin, Ningtao Wang, Ruofan Wu, Xing Fu, Weiqiang Wang:
A Momentum Loss Reweighting Method for Improving Recall. 997-1003 - Jiarui Jin, Xianyu Chen, Weinan Zhang, Mengyue Yang, Yang Wang, Yali Du, Yong Yu, Jun Wang:
Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank. 1004-1013 - Jiazheng Jing, Yinan Zhang, Xin Zhou, Zhiqi Shen:
Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation. 1014-1024 - Suhyeon Jo, DongHyeok Shin, Byeonghu Na, JoonHo Jang, Il-Chul Moon:
Hierarchical Multi-Label Classification with Partial Labels and Unknown Hierarchy. 1025-1034 - Hyeonsoo Jo, Fanchen Bu, Kijung Shin:
Robust Graph Clustering via Meta Weighting for Noisy Graphs. 1035-1044 - Xincheng Ju, Dong Zhang, Suyang Zhu, Junhui Li, Shoushan Li, Guodong Zhou:
Real-time Emotion Pre-Recognition in Conversations with Contrastive Multi-modal Dialogue Pre-training. 1045-1055 - Natan Kaminsky, Uriel Singer, Kira Radinsky:
CFOM: Lead Optimization For Drug Discovery With Limited Data. 1056-1066 - Efi Karra Taniskidou, Wenjie Zhao, Iain Murray, Roberto Pellegrini:
Nudging Neural Click Prediction Models to Pay Attention to Position. 1067-1076 - Minchang Kim, Yongjin Yang, Jung Hyun Ryu, Taesup Kim:
Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation. 1077-1086 - Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, Tat-Seng Chua:
Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction. 1087-1096 - Ziyi Kou, Saurav Manchanda, Shih-Ting Lin, Min Xie, Haixun Wang, Xiangliang Zhang:
Modeling Sequential Collaborative User Behaviors For Seller-Aware Next Basket Recommendation. 1097-1106 - Narayanan Asuri Krishnan, Carlos R. Rivero:
A Model-Agnostic Method to Interpret Link Prediction Evaluation of Knowledge Graph Embeddings. 1107-1116 - Raghvendra Kumar, Ratul Chakraborty, Abhishek Tiwari, Sriparna Saha, Naveen Saini:
Diving into a Sea of Opinions: Multi-modal Abstractive Summarization with Comment Sensitivity. 1117-1126 - Suchetha N. Kunnath, David Pride, Petr Knoth:
Prompting Strategies for Citation Classification. 1127-1137 - Branislav Kveton, Yi Liu, Johan Matteo Kruijssen, Yisu Nie:
Non-Compliant Bandits. 1138-1147 - Jinrong Lai, Tong Wang, Chuan Chen, Yihao Li, Zibin Zheng:
VFedAD: A Defense Method Based on the Information Mechanism Behind the Vertical Federated Data Poisoning Attack. 1148-1157 - Hsu-Chao Lai, Philip S. Yu, Jiun-Long Huang:
Learning the Co-evolution Process on Live Stream Platforms with Dual Self-attention for Next-topic Recommendations. 1158-1167 - Xinying Lai, Dingming Wu, Christian S. Jensen, Kezhong Lu:
A Re-evaluation of Deep Learning Methods for Attributed Graph Clustering. 1168-1177 - Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu:
Tackling Diverse Minorities in Imbalanced Classification. 1178-1187 - Jongsoo Lee, Byeongtae Park, Dong-Kyu Chae:
DuoGAT: Dual Time-oriented Graph Attention Networks for Accurate, Efficient and Explainable Anomaly Detection on Time-series. 1188-1197 - Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Zibin Zheng, Jiawang Dan, Changhua Meng, Weiqiang Wang:
GUARD: Graph Universal Adversarial Defense. 1198-1207 - Shuhao Li, Yue Cui, Yan Zhao, Weidong Yang, Ruiyuan Zhang, Xiaofang Zhou:
ST-MoE: Spatio-Temporal Mixture-of-Experts for Debiasing in Traffic Prediction. 1208-1217 - Wenbo Li, Yao Yang, Einoshin Suzuki:
Class-Specific Word Sense Aware Topic Modeling via Soft Orthogonalized Topics. 1218-1227 - Zhaotian Li, Binhang Qi, Hailong Sun, Xiang Gao:
AutoMRM: A Model Retrieval Method Based on Multimodal Query and Meta-learning. 1228-1237 - Xinhang Li, Xiangyu Zhao, Yong Zhang, Chunxiao Xing:
Towards Automatic ICD Coding via Knowledge Enhanced Multi-Task Learning. 1238-1248 - Fengheng Li, An Liu, Wei Feng, Honghe Zhu, Yaoyu Li, Zheng Zhang, Jingjing Lv, Xin Zhu, Junjie Shen, Zhangang Lin, Jingping Shao:
Relation-Aware Diffusion Model for Controllable Poster Layout Generation. 1249-1258 - Yiqiao Li, Jianlong Zhou, Yifei Dong, Niusha Shafiabady, Fang Chen:
ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks. 1259-1267 - Xiaopeng Li, Fan Yan, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang:
HAMUR: Hyper Adapter for Multi-Domain Recommendation. 1268-1277 - Xinhang Li, Zhaopeng Qiu, Xiangyu Zhao, Yong Zhang, Chunxiao Xing, Xian Wu:
REST: Drug-Drug Interaction Prediction via Reinforced Student-Teacher Curriculum Learning. 1278-1287 - Ce Li, Rongpei Hong, Xovee Xu, Goce Trajcevski, Fan Zhou:
Simplifying Temporal Heterogeneous Network for Continuous-Time Link prediction. 1288-1297 - Jiazheng Li, Chunhui Zhang, Chuxu Zhang:
Heterogeneous Temporal Graph Neural Network Explainer. 1298-1307 - Qi Li:
Harnessing the Power of Pre-trained Vision-Language Models for Efficient Medical Report Generation. 1308-1317 - Qingyao Li, Wei Xia, Li'ang Yin, Jian Shen, Renting Rui, Weinan Zhang, Xianyu Chen, Ruiming Tang, Yong Yu:
Graph Enhanced Hierarchical Reinforcement Learning for Goal-oriented Learning Path Recommendation. 1318-1327 - Weihe Li, Paul Patras:
Tight-Sketch: A High-Performance Sketch for Heavy Item-Oriented Data Stream Mining with Limited Memory Size. 1328-1337 - Dong Li, Wenjun Wang, Minglai Shao, Chen Zhao:
Contrastive Representation Learning Based on Multiple Node-centered Subgraphs. 1338-1347 - Lei Li, Yongfeng Zhang, Li Chen:
Prompt Distillation for Efficient LLM-based Recommendation. 1348-1357 - Junlin Li, Yueheng Sun, Minglai Shao:
Multi-Order Relations Hyperbolic Fusion for Heterogeneous Graphs. 1358-1367 - Yilin Li, Jiaqi Zhu, Congcong Zhang, Yi Yang, Jiawen Zhang, Ying Qiao, Hongan Wang:
THGNN: An Embedding-based Model for Anomaly Detection in Dynamic Heterogeneous Social Networks. 1368-1378 - Fengqi Liang, Huan Zhao, Zhenyi Wang, Wei Fang, Chuan Shi:
Retrieving GNN Architecture for Collaborative Filtering. 1379-1388 - Jie Liao, Jintang Li, Liang Chen, Bingzhe Wu, Yatao Bian, Zibin Zheng:
SAILOR: Structural Augmentation Based Tail Node Representation Learning. 1389-1399 - Siyu Liao, Ringting Zhang, Barbara Poblete, Vanessa Murdock:
Bias Invariant Approaches for Improving Word Embedding Fairness. 1400-1410 - Haksoo Lim, Sewon Park, Minjung Kim, Jaehoon Lee, Seonkyu Lim, Noseong Park:
MadSGM: Multivariate Anomaly Detection with Score-based Generative Models. 1411-1420 - Yujie Lin, Chen Zhao, Minglai Shao, Xujiang Zhao, Haifeng Chen:
Adaptation Speed Analysis for Fairness-aware Causal Models. 1421-1430 - Hao-Lun Lin, Jyun-Yu Jiang, Ming-Hao Juan, Pu-Jen Cheng:
printf: Preference Modeling Based on User Reviews with Item Images and Textual Information via Graph Learning. 1431-1440 - Yu-Jen Lin, Chih-Jen Lin:
On the Thresholding Strategy for Infrequent Labels in Multi-label Classification. 1441-1450 - Zhanyu Liu, Guanjie Zheng, Yanwei Yu:
Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank. 1451-1460 - Meizhen Liu, Jiakai He, Xu Guo, Jianye Chen, Siu Cheung Hui, Fengyu Zhou:
GranCATs: Cross-Lingual Enhancement through Granularity-Specific Contrastive Adapters. 1461-1471 - Runshi Liu, Zhipeng Hou:
UniTE: A Unified Treatment Effect Estimation Method for One-sided and Two-sided Marketing. 1472-1481 - Zhuang Liu, Haoxuan Li, Guanming Chen, Yuanxin Ouyang, Wenge Rong, Zhang Xiong:
PopDCL: Popularity-aware Debiased Contrastive Loss for Collaborative Filtering. 1482-1492 - Sijia Liu, Jiahao Liu, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu:
AutoSeqRec: Autoencoder for Efficient Sequential Recommendation. 1493-1502 - Junfeng Liu, Min Zhou, Shuai Ma, Lujia Pan:
MATA*: Combining Learnable Node Matching with A* Algorithm for Approximate Graph Edit Distance Computation. 1503-1512 - Bulou Liu, Yiran Hu, Qingyao Ai, Yiqun Liu, Yueyue Wu, Chenliang Li, Weixing Shen:
Leveraging Event Schema to Ask Clarifying Questions for Conversational Legal Case Retrieval. 1513-1522 - Zixuan Liu, Gaurush Hiranandani, Kun Qian, Edward W. Huang, Yi Xu, Belinda Zeng, Karthik Subbian, Sheng Wang:
ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding. 1523-1533 - Zhenghao Liu, Sen Mei, Chenyan Xiong, Xiaohua Li, Shi Yu, Zhiyuan Liu, Yu Gu, Ge Yu:
Text Matching Improves Sequential Recommendation by Reducing Popularity Biases. 1534-1544 - Luyang Liu, Qunyang Lin, Haonan Tong, Hongyin Zhu, Ke Liu, Min Wang, Chuang Zhang:
Neural Personalized Topic Modeling for Mining User Preferences on Social Media. 1545-1555 - Jingping Liu, Tao Chen, Zujie Liang, Haiyun Jiang, Yanghua Xiao, Feng Wei, Yuxi Qian, Zhenghong Hao, Bing Han:
Hierarchical Prompt Tuning for Few-Shot Multi-Task Learning. 1556-1565 - Xiao Liu, Shunmei Meng, Qianmu Li, Lianyong Qi, Xiaolong Xu, Wanchun Dou, Xuyun Zhang:
SMEF: Social-aware Multi-dimensional Edge Features-based Graph Representation Learning for Recommendation. 1566-1575 - Qidong Liu, Fan Yan, Xiangyu Zhao, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Feng Tian:
Diffusion Augmentation for Sequential Recommendation. 1576-1586 - Tong Liu, Xulong Wang, He Huang, Po Yang:
Weak Regression Enhanced Lifelong Learning for Improved Performance and Reduced Training Data. 1587-1596 - Jing Liu, Jamie Cui, Cen Chen:
Online Efficient Secure Logistic Regression based on Function Secret Sharing. 1597-1606 - Xinyu Liu, Zijing Wei, Wenqing Yu, Shaozhi Liu, Gang Wang, Xiaoguang Liu, Yusen Li:
Khronos: A Real-Time Indexing Framework for Time Series Databases on Large-Scale Performance Monitoring Systems. 1607-1616 - Yi Liu, Hongrui Xuan, Bohan Li, Meng Wang, Tong Chen, Hongzhi Yin:
Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph. 1617-1626 - Wanjun Liu, Xiufan Yu, Jialiang Mao, Xiaoxu Wu, Justin Dyer:
Quantifying the Effectiveness of Advertising: A Bootstrap Proportion Test for Brand Lift Testing. 1627-1636 - Qi Liu, Zhilong Zhou, Gangwei Jiang, Tiezheng Ge, Defu Lian:
Deep Task-specific Bottom Representation Network for Multi-Task Recommendation. 1637-1646 - Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng:
Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method. 1647-1656 - Yunzhong Lou, Xueyang Li, Haotian Chen, Xiangdong Zhou:
BRep-BERT: Pre-training Boundary Representation BERT with Sub-graph Node Contrastive Learning. 1657-1666 - Ke Lu, Xiaotong He, Ze Qin, Xinyao Li, Zhekai Du:
Exploring Low-Dimensional Manifolds of Deep Neural Network Parameters for Improved Model Optimization. 1667-1676 - Yuval Lev Lubarsky, Jan Tönshoff, Martin Grohe, Benny Kimelfeld:
Selecting Walk Schemes for Database Embedding. 1677-1686 - Ge Luo, Manman Zhang, Yuchen Ma, Sheng Li, Zhenxing Qian, Xinpeng Zhang:
Forward Creation, Reverse Selection: Achieving Highly Pertinent Multimodal Responses in Dialogue Contexts. 1687-1696 - Yan Luo, Haoyi Duan, Ye Liu, Fu-Lai Chung:
Timestamps as Prompts for Geography-Aware Location Recommendation. 1697-1706 - Sichun Luo, Chen Ma, Yuanzhang Xiao, Linqi Song:
Improving Long-Tail Item Recommendation with Graph Augmentation. 1707-1716 - Lei Luo, Yajing Xu:
Context-Aware Prompt for Generation-based Event Argument Extraction with Diffusion Models. 1717-1725 - Ying Lv, Jianpeng Ma, Yiqiu Zhang, Gang Xu:
Integrating Priors into Domain Adaptation Based on Evidence Theory. 1726-1735 - Yiqin Lv, Zhiliang Tian, Zheng Xie, Yiping Song:
Multi-scale Graph Pooling Approach with Adaptive Key Subgraph for Graph Representations. 1736-1745 - Denghao Ma, Kevin Chen-Chuan Chang, Yueguo Chen, Xueqiang Lv, Liang Shen:
A Principled Decomposition of Pointwise Mutual Information for Intention Template Discovery. 1746-1755 - Qian Ma, Zijian Zhang, Xiangyu Zhao, Haoliang Li, Hongwei Zhao, Yiqi Wang, Zitao Liu, Wanyu Wang:
Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting. 1756-1765 - Weijian Ma, Minyang Xu, Xueyang Li, Xiangdong Zhou:
MultiCAD: Contrastive Representation Learning for Multi-modal 3D Computer-Aided Design Models. 1766-1776 - Federico Marcuzzi, Claudio Lucchese, Salvatore Orlando:
LambdaRank Gradients are Incoherent. 1777-1786 - Debjani Mazumder, Jiaul H. Paik, Anupam Basu:
A Graph Neural Network Model for Concept Prerequisite Relation Extraction. 1787-1796 - Chang Meng, Chenhao Zhai, Yu Yang, Hengyu Zhang, Xiu Li:
Parallel Knowledge Enhancement based Framework for Multi-behavior Recommendation. 1797-1806 - Chuan Meng, Mohammad Aliannejadi, Maarten de Rijke:
System Initiative Prediction for Multi-turn Conversational Information Seeking. 1807-1817 - Arpit Merchant, Carlos Castillo:
Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification. 1818-1827 - Pu Miao, Zeyao Du, Junlin Zhang:
DebCSE: Rethinking Unsupervised Contrastive Sentence Embedding Learning in the Debiasing Perspective. 1847-1856 - Shanlei Mu, Penghui Wei, Wayne Xin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng:
Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking. 1857-1866 - Maximilian Münch, Manuel Röder, Frank-Michael Schleif:
Unlocking the Potential of Non-PSD Kernel Matrices: A Polar Decomposition-based Transformation for Improved Prediction Models. 1867-1876 - Parmis Naddaf, Erfaneh Mahmoudzaheh Ahmadi Nejad, Kiarash Zahirnia, Manfred Jaeger, Oliver Schulte:
Joint Link Prediction Via Inference from a Model. 1877-1886 - Jay Nandy, Jatin Chauhan, Rishi Saket, Aravindan Raghuveer:
Non-Uniform Adversarial Perturbations for Discrete Tabular Datasets. 1887-1896 - Mohsen Nayebi Kerdabadi, Arya Hadizadeh Moghaddam, Bin Liu, Mei Liu, Zijun Yao:
Contrastive Learning of Temporal Distinctiveness for Survival Analysis in Electronic Health Records. 1897-1906 - Preben M. Ness, Dusica Marijan, Sunanda Bose:
Measuring the Effect of Causal Disentanglement on the Adversarial Robustness of Neural Network Models. 1907-1916 - Wentao Ning, Xiao Yan, Weiwen Liu, Reynold Cheng, Rui Zhang, Bo Tang:
Multi-domain Recommendation with Embedding Disentangling and Domain Alignment. 1917-1927 - Yunhak Oh, Sukwon Yun, Dongmin Hyun, Sein Kim, Chanyoung Park:
MUSE: Music Recommender System with Shuffle Play Recommendation Enhancement. 1928-1938 - Byungkook Oh, Yul Kim, Bumky Min:
Dual-Oriented Contrast for Recommendation with A Stop-Gradient Operation. 1939-1948 - Rongqing Kenneth Ong, Wei Qiu, Andy W. H. Khong:
Quad-Tier Entity Fusion Contrastive Representation Learning for Knowledge Aware Recommendation System. 1949-1959 - David Otero, Javier Parapar, Nicola Ferro:
How Discriminative Are Your Qrels? How To Study the Statistical Significance of Document Adjudication Methods. 1960-1970 - Simon Ott, Patrick Betz, Daria Stepanova, Mohamed H. Gad-Elrab, Christian Meilicke, Heiner Stuckenschmidt:
Rule-based Knowledge Graph Completion with Canonical Models. 1971-1981 - Jihong Ouyang, Zhiyao Yang, Chang Xuan, Bing Wang, Yiyuan Wang, Ximing Li:
Unsupervised Aspect Term Extraction by Integrating Sentence-level Curriculum Learning with Token-level Self-paced Learning. 1982-1991 - Vardaan Pahuja, Boshi Wang, Hugo Latapie, Jayanth Srinivasa, Yu Su:
A Retrieve-and-Read Framework for Knowledge Graph Link Prediction. 1992-2002 - Mao Pan, Tao Yu, Kun Zhou, Zheng Li, Dongyue Wang, Zhuoye Ding, Xiwei Zhao, Sulong Xu:
IUI: Intent-Enhanced User Interest Modeling for Click-Through Rate Prediction. 2003-2012 - Vincenzo Paparella, Vito Walter Anelli, Franco Maria Nardini, Raffaele Perego, Tommaso Di Noia:
Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation. 2013-2023 - Chung Park, Taesan Kim, Taekyoon Choi, Junui Hong, Yelim Yu, Mincheol Cho, Kyunam Lee, Sungil Ryu, Hyungjun Yoon, Minsung Choi, Jaegul Choo:
Cracking the Code of Negative Transfer: A Cooperative Game Theoretic Approach for Cross-Domain Sequential Recommendation. 2024-2033 - Seongmin Park, Mincheol Yoon, Jae-woong Lee, Hogun Park, Jongwuk Lee:
Toward a Better Understanding of Loss Functions for Collaborative Filtering. 2034-2043 - Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Kevin Li, Judy Hoffman, Duen Horng Chau:
Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries. 2044-2054 - Hung Phan, Ali Jannesari:
Evaluating and Optimizing the Effectiveness of Neural Machine Translation in Supporting Code Retrieval Models: A Study on the CAT Benchmark. 2055-2064 - Hongliang Qiao, Shanshan Feng, Xutao Li, Huiwei Lin, Han Hu, Wei Wei, Yunming Ye:
RotDiff: A Hyperbolic Rotation Representation Model for Information Diffusion Prediction. 2065-2074 - Shutong Qiao, Wei Zhou, Junhao Wen, Hongyu Zhang, Min Gao:
Bi-channel Multiple Sparse Graph Attention Networks for Session-based Recommendation. 2075-2084 - Shigang Quan, Hailong Tan, Shui Liu, Zhenzhe Zheng, Ruihao Zhu, Liangyue Li, Quan Lu, Fan Wu:
MERIT: A Merchant Incentive Ranking Model for Hotel Search & Ranking. 2085-2094 - Shigang Quan, Shui Liu, Zhenzhe Zheng, Fan Wu:
Enhancing Repeat-Aware Recommendation from a Temporal-Sequential Perspective. 2095-2105 - Md Mahmudur Rahman, Sanjay Purushotham:
Federated Competing Risk Analysis. 2106-2115 - Masoud Reyhani Hamedani, Jin-Su Ryu, Sang-Wook Kim:
ELTRA: An Embedding Method based on Learning-to-Rank to Preserve Asymmetric Information in Directed Graphs. 2116-2125 - Yuanyi Ren, Hang Ni, Yingxue Zhang, Xi Wang, Guojie Song, Dong Li, Jianye Hao:
Dual-Process Graph Neural Network for Diversified Recommendation. 2126-2135 - Yixin Ren, Li Ke, Dong Li, Hui Xue, Zhao Li, Shuigeng Zhou:
Incremental Graph Classification by Class Prototype Construction and Augmentation. 2136-2145 - Dan Ni Ren, Leong Hou U, Wei Liu:
Dual-view Contrastive Learning for Auction Recommendation. 2146-2155 - Alexander Renz-Wieland, Andreas Kieslinger, Robert Gericke, Rainer Gemulla, Zoi Kaoudi, Volker Markl:
Good Intentions: Adaptive Parameter Management via Intent Signaling. 2156-2166 - Khaled Mohammed Saifuddin, Corey May, Farhan Tanvir, Muhammad Ifte Khairul Islam, Esra Akbas:
Seq-HyGAN: Sequence Classification via Hypergraph Attention Network. 2167-2177 - Minghui Shan, Yixiao Ma, Shulan Ruan, Zhi Cao, Shiwei Tong, Qi Liu, Yu Su, Shijin Wang:
PaperLM: A Pre-trained Model for Hierarchical Examination Paper Representation Learning. 2178-2187 - Yu Shang, Yudong Zhang, Jiansheng Chen, Depeng Jin, Yong Li:
Transferable Structure-based Adversarial Attack of Heterogeneous Graph Neural Network. 2188-2197 - Shreya Shankar, Labib Fawaz, Karl Gyllstrom, Aditya G. Parameswaran:
Automatic and Precise Data Validation for Machine Learning. 2198-2207 - Jiangli Shao, Yongqing Wang, Fangda Guo, Boshen Shi, Huawei Shen, Xueqi Cheng:
TOAK: A Topology-oriented Attack Strategy for Degrading User Identity Linkage in Cross-network Learning. 2208-2218 - Jiangli Shao, Yongqing Wang, Fangda Guo, Boshen Shi, Huawei Shen, Xueqi Cheng:
CANA: Causal-enhanced Social Network Alignment. 2219-2228 - Kartik Sharma, Mohit Raghavendra, Yeon-Chang Lee, Anand Kumar M, Srijan Kumar:
Representation Learning in Continuous-Time Dynamic Signed Networks. 2229-2238 - Chenglei Shen, Xiao Zhang, Wei Wei, Jun Xu:
HyperBandit: Contextual Bandit with Hypernewtork for Time-Varying User Preferences in Streaming Recommendation. 2239-2248 - Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng:
Improving Graph Domain Adaptation with Network Hierarchy. 2249-2258 - Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu:
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction. 2259-2269 - Weili Shi, Xueying Yang, Xujiang Zhao, Haifeng Chen, Zhiqiang Tao, Sheng Li:
Calibrate Graph Neural Networks under Out-of-Distribution Nodes via Deep Q-learning. 2270-2279 - Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen:
EmFore: Online Learning of Email Folder Classification Rules. 2280-2290 - Apoorva Singh, Apoorv Verma, Raghav Jain, Sriparna Saha:
Investigating the Impact of Multimodality and External Knowledge in Aspect-level Complaint and Sentiment Analysis. 2291-2300 - Atanu R. Sinha, Harshita Chopra, Aurghya Maiti, Atishay Ganesh, Sarthak Kapoor, Saili Myana, Saurabh Mahapatra:
The Role of Unattributed Behavior Logs in Predictive User Segmentation. 2301-2310 - Chen-Hui Song, Xi Xiao, Bin Zhang, Shu-Tao Xia:
Follow the Will of the Market: A Context-Informed Drift-Aware Method for Stock Prediction. 2311-2320 - Zijie Song, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, Can Wang:
CDR: Conservative Doubly Robust Learning for Debiased Recommendation. 2321-2330 - Zixing Song, Yuji Zhang, Irwin King:
Towards Fair Financial Services for All: A Temporal GNN Approach for Individual Fairness on Transaction Networks. 2331-2341 - Yuchen Su, Davood Rafiei, Behrad Khorram Nazari:
SAND: Semantic Annotation of Numeric Data in Web Tables. 2342-2351 - Yi-Xuan Sun, Ya-Lin Zhang, Wei Wang, Longfei Li, Jun Zhou:
Treatment Effect Estimation across Domains. 2352-2361 - Yepeng Sun, Jicang Lu, Ling Wang, Shunhang Li, Ningbo Huang:
Topic-Aware Contrastive Learning and K-Nearest Neighbor Mechanism for Stance Detection. 2362-2371 - Anique Tahir, Lu Cheng, Huan Liu:
Fairness through Aleatoric Uncertainty. 2372-2381 - Xiao Tan, Yangyang Shen, Meng Wang, Beilun Wang:
Graph Inference via the Energy-efficient Dynamic Precision Matrix Estimation with One-bit Data. 2382-2391 - Heng Tan, Yukun Yuan, Shuxin Zhong, Yu Yang:
Joint Rebalancing and Charging for Shared Electric Micromobility Vehicles with Energy-informed Demand. 2392-2401 - Zee Hen Tang, Mi-Yen Yeh:
EAGLE: Enhance Target-Oriented Dialogs by Global Planning and Topic Flow Integration. 2402-2411 - Jiabin Tang, Lianghao Xia, Jie Hu, Chao Huang:
Spatio-Temporal Meta Contrastive Learning. 2412-2421 - Wenzhuo Tang, Hongzhi Wen, Renming Liu, Jiayuan Ding, Wei Jin, Yuying Xie, Hui Liu, Jiliang Tang:
Single-Cell Multimodal Prediction via Transformers. 2422-2431 - Jiabin Tang, Lianghao Xia, Chao Huang:
Explainable Spatio-Temporal Graph Neural Networks. 2432-2441 - Changxin Tian, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou:
Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation. 2442-2451 - Abhisek Tiwari, Anisha Saha, Sriparna Saha, Pushpak Bhattacharyya, Minakshi Dhar:
Experience and Evidence are the eyes of an excellent summarizer! Towards Knowledge Infused Multi-modal Clinical Conversation Summarization. 2452-2461 - Nhu-Thuat Tran, Hady W. Lauw:
Multi-Representation Variational Autoencoder via Iterative Latent Attention and Implicit Differentiation. 2462-2471 - Hong-Jin Tsai, An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen:
Citation Intent Classification and Its Supporting Evidence Extraction for Citation Graph Construction. 2472-2481 - Ke Tu, Wei Qu, Zhengwei Wu, Zhiqiang Zhang, Zhongyi Liu, Yiming Zhao, Le Wu, Jun Zhou, Guannan Zhang:
Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation. 2482-2491 - Xinwei Wan, Jiankai Sun, Shengjie Wang, Lei Chen, Zhenzhe Zheng, Fan Wu, Guihai Chen:
PSLF: Defending Against Label Leakage in Split Learning. 2492-2501 - Junhong Wan, Yao Fu, Junlan Yu, Weihao Jiang, Shiliang Pu, Ruiheng Yang:
GraphFADE: Field-aware Decorrelation Neural Network for Graphs with Tabular Features. 2502-2511 - Fanmeng Wang, Hongteng Xu, Xi Chen, Shuqi Lu, Yuqing Deng, Wenbing Huang:
MPerformer: An SE(3) Transformer-based Molecular Perceptron. 2512-2522 - Fangye Wang, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu:
Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction. 2523-2533 - Zihan Wang, Kai Zhao, Yongquan He, Zhumin Chen, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations. 2534-2543 - Xiaoyu Wang, Yonghui Guo, Xiaoyang Ma, Dongbo Huang, Lan Xu, Haisheng Tan, Hao Zhou, Xiang-Yang Li:
CLOCK: Online Temporal Hierarchical Framework for Multi-scale Multi-granularity Forecasting of User Impression. 2544-2553 - Min Wang, Hua Wang, Fan Zhang:
FAMC-Net: Frequency Domain Parity Correction Attention and Multi-Scale Dilated Convolution for Time Series Forecasting. 2554-2563 - Zihong Wang, Yingxia Shao, Jiyuan He, Jinbao Liu, Shitao Xiao, Tao Feng, Ming Liu:
Diversity-aware Deep Ranking Network for Recommendation. 2564-2573 - Yu Wang, Feng Ye, Binquan Li, Gaoyang Jin, Dong Xu, Fengsheng Li:
UrbanFloodKG: An Urban Flood Knowledge Graph System for Risk Assessment. 2574-2584 - Bo Wang, Tsunenori Mine:
Optimizing Upstream Representations for Out-of-Domain Detection with Supervised Contrastive Learning. 2585-2595 - Yongjie Wang, Hangwei Qian, Yongjie Liu, Wei Guo, Chunyan Miao:
Flexible and Robust Counterfactual Explanations with Minimal Satisfiable Perturbations. 2596-2605 - Haoyu Wang, Zongxia Xie, Meiyao Liu, Canhua Guan:
AFRF: Angle Feature Retrieval Based Popularity Forecasting. 2606-2615 - Chunpai Wang, Shaghayegh Sahebi:
Continuous Personalized Knowledge Tracing: Modeling Long-Term Learning in Online Environments. 2616-2625 - Shuang Wang, Bahaeddin Eravci, Rustam Guliyev, Hakan Ferhatosmanoglu:
Low-bit Quantization for Deep Graph Neural Networks with Smoothness-aware Message Propagation. 2626-2636 - Wentao Wang, Harry Shomer, Yuxuan Wan, Yaxin Li, Jiangtao Huang, Hui Liu:
A Mix-up Strategy to Enhance Adversarial Training with Imbalanced Data. 2637-2645 - Zhenyi Wang, Huan Zhao, Fengqi Liang, Chuan Shi:
Node-dependent Semantic Search over Heterogeneous Graph Neural Networks. 2646-2655 - Zihan Wang, Yujia Zhou, Yiteng Tu, Zhicheng Dou:
NOVO: Learnable and Interpretable Document Identifiers for Model-Based IR. 2656-2665 - Tianle Wang, Zihan Wang, Weitang Liu, Jingbo Shang:
WOT-Class: Weakly Supervised Open-world Text Classification. 2666-2675 - Siyuan Wang, Jianming Zheng, Wanyu Chen, Fei Cai, Xueshan Luo:
MultiPLe: Multilingual Prompt Learning for Relieving Semantic Confusions in Few-shot Event Detection. 2676-2685 - Mengying Wang, Sheng Guan, Hanchao Ma, Yiyang Bian, Haolai Che, Abhishek Daundkar, Alp Sehirlioglu, Yinghui Wu:
Selecting Top-k Data Science Models by Example Dataset. 2686-2695 - Qianlong Wen, Jiazheng Li, Chuxu Zhang, Yanfang Ye:
A Multi-Modality Framework for Drug-Drug Interaction Prediction by Harnessing Multi-source Data. 2696-2705 - Jingxuan Wen, Huafeng Liu, Liping Jing:
Modeling Preference as Weighted Distribution over Functions for User Cold-start Recommendation. 2706-2715 - Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang:
Dual Intents Graph Modeling for User-centric Group Discovery. 2716-2725 - Jiaying Wu, Shen Li, Ailin Deng, Miao Xiong, Bryan Hooi:
Prompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News Detection. 2726-2736 - Bin Wu, Xinyu Yao, Boyan Zhang, Kuo-Ming Chao, Yinsheng Li:
SplitGNN: Spectral Graph Neural Network for Fraud Detection against Heterophily. 2737-2746 - Yang Wu, Xurui Li, Xuhong Zhang, Yangyang Kang, Changlong Sun, Xiaozhong Liu:
Community-Based Hierarchical Positive-Unlabeled (PU) Model Fusion for Chronic Disease Prediction. 2747-2756 - Yuefei Wu, Bin Shi, Jiarun Chen, Yuhang Liu, Bo Dong, Qinghua Zheng, Hua Wei:
Rethinking Sentiment Analysis under Uncertainty. 2775-2784 - Xi Wu, Liangwei Yang, Jibing Gong, Chao Zhou, Tianyu Lin, Xiaolong Liu, Philip S. Yu:
Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering. 2785-2794 - Xin Xia, Junliang Yu, Guandong Xu, Hongzhi Yin:
Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation. 2795-2804 - Tianshu Xiao, Sichang Guo, Jingcheng Huang, Riccardo Spolaor, Xiuzhen Cheng:
HiPo: Detecting Fake News via Historical and Multi-Modal Analyses of Social Media Posts. 2805-2815 - Hao Xu, Chiranjeet Chetia:
An Efficient Selective Ensemble Learning with Rejection Approach for Classification. 2816-2825 - Hongyan Xu, Hongtao Liu, Zhepeng Lv, Qing Yang, Wenjun Wang:
Sentiment-aware Review Summarization with Personalized Multi-task Fine-tuning. 2826-2835 - Jingwen Xu, Fei Lyu, Pong C. Yuen:
Density-Aware Temporal Attentive Step-wise Diffusion Model For Medical Time Series Imputation. 2836-2845 - Hao Xu, Huixuan Chi, Danyang Liu, Sheng Zhou, Mengdi Zhang:
DPGN: Denoising Periodic Graph Network for Life Service Recommendation. 2846-2855 - Wanyue Xu, Zhongzhi Zhang:
Minimizing Polarization in Noisy Leader-Follower Opinion Dynamics. 2856-2865 - Akihiro Yamaguchi, Ken Ueno, Hisashi Kashima:
Time-series Shapelets with Learnable Lengths. 2866-2876 - Hua Yan, Hao Wang, Desheng Zhang, Yu Yang:
Identifying Regional Driving Risks via Transductive Cross-City Transfer Learning Under Negative Transfer. 2877-2886 - Leilei Yan, Fanzhang Li, Xiaohan Zheng, Li Zhang:
Few-Shot Learning via Task-Aware Discriminant Local Descriptors Network. 2887-2894 - Ziwei Yang, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai:
MoCLIM: Towards Accurate Cancer Subtyping via Multi-Omics Contrastive Learning with Omics-Inference Modeling. 2895-2905 - Tao Yang, Zhichao Xu, Zhenduo Wang, Qingyao Ai:
FARA: Future-aware Ranking Algorithm for Fairness Optimization. 2906-2916 - Kailai Yang, Tianlin Zhang, Shaoxiong Ji, Sophia Ananiadou:
A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge. 2917-2927 - Zhen Yang, Junrui Liu, Tong Li, Di Wu, Shiqiu Yang, Huan Liu:
A Two-tier Shared Embedding Method for Review-based Recommender Systems. 2928-2938 - Guang Yang, Yuequn Zhang, Jinquan Hang, Xinyue Feng, Zejun Xie, Desheng Zhang, Yu Yang:
CARPG: Cross-City Knowledge Transfer for Traffic Accident Prediction via Attentive Region-Level Parameter Generation. 2939-2948 - Fanyi Yang, Huifang Ma, Cairui Yan, Zhixin Li, Liang Chang:
Co-guided Random Walk for Polarized Communities Search. 2949-2958 - Wei Yang, Jie Yang, Yuan Liu:
Multimodal Optimal Transport Knowledge Distillation for Cross-domain Recommendation. 2959-2968 - Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning. 2969-2979 - Jiuding Yang, Jinwen Luo, Weidong Guo, Jerry Chen, Di Niu, Yu Xu:
Mulco: Recognizing Chinese Nested Named Entities through Multiple Scopes. 2980-2989 - Kai Yao, Zixian Su, Xi Yang, Jie Sun, Kaizhu Huang:
Explore Epistemic Uncertainty in Domain Adaptive Semantic Segmentation. 2990-2998 - Dezhi Ye, Bowen Tian, Jiabin Fan, Jie Liu, Tianhua Zhou, Xiang Chen, Mingming Li, Jin Ma:
Improving Query Correction Using Pre-train Language Model In Search Engines. 2999-3008 - Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen:
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation. 3009-3019 - Lu Yu, Meng Li, Ya-Lin Zhang, Longfei Li, Jun Zhou:
FINRule: Feature Interactive Neural Rule Learning. 3020-3029 - Yakun Yu, Shiang Qi, Jiuding Yang, Liyao Jiang, Di Niu:
iHAS: Instance-wise Hierarchical Architecture Search for Deep Learning Recommendation Models. 3030-3039 - Puxuan Yu, Razieh Rahimi, Zhiqi Huang, James Allan:
Search Result Diversification Using Query Aspects as Bottlenecks. 3040-3051 - Zihan Yu, Guozhen Zhang, Yong Li, Depeng Jin:
Understanding and Modeling Collision Avoidance Behavior for Realistic Crowd Simulation. 3052-3061 - Chengqing Yu, Fei Wang, Zezhi Shao, Tao Sun, Lin Wu, Yongjun Xu:
DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction. 3062-3072 - Sanshi Lei Yu, Qi Liu, Fei Wang, Yang Yu, Enhong Chen:
Federated News Recommendation with Fine-grained Interpolation and Dynamic Clustering. 3073-3082 - Dianer Yu, Qian Li, Hongzhi Yin, Guandong Xu:
Causality-guided Graph Learning for Session-based Recommendation. 3083-3093 - Mengyi Yuan, Minjie Chen, Xiang Li:
MUSE: Multi-view Contrastive Learning for Heterophilic Graphs via Information Reconstruction. 3094-3103 - Huaying Yuan, Zhicheng Dou, Yujia Zhou, Yu Guo, Ji-Rong Wen:
VILE: Block-Aware Visual Enhanced Document Retrieval. 3104-3113 - Huimin Zeng, Zhenrui Yue, Yang Zhang, Lanyu Shang, Dong Wang:
Manipulating Out-Domain Uncertainty Estimation in Deep Neural Networks via Targeted Clean-Label Poisoning. 3114-3123 - Ximu Zeng, Quanlin Yu, Shuncheng Liu, Yuyang Xia, Han Su, Kai Zheng:
Target-Oriented Maneuver Decision for Autonomous Vehicle: A Rule-Aided Reinforcement Learning Framework. 3124-3133 - Liang Zeng, Jin Xu, Zijun Yao, Yanqiao Zhu, Jian Li:
AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange. 3134-3143 - Giselle Zeno, Jennifer Neville:
DYANE: DYnamic Attributed Node rolEs Generative Model. 3144-3153 - Pengtao Zhang, Junlin Zhang:
MemoNet: Memorizing All Cross Features' Representations Efficiently via Multi-Hash Codebook Network for CTR Prediction. 3154-3163 - Kai Zhang, Chao Li, Qinmin Yang:
TriD-MAE: A Generic Pre-trained Model for Multivariate Time Series with Missing Values. 3164-3173 - Siwei Zhang, Yun Xiong, Yao Zhang, Yiheng Sun, Xi Chen, Yizhu Jiao, Yangyong Zhu:
RDGSL: Dynamic Graph Representation Learning with Structure Learning. 3174-3183 - Xiaobo Zhang, Yutao Liu, Hao Wang, Wei Wang, Panpan Ni, Ji Zhang:
CoSaR: Combating Label Noise Using Collaborative Sample Selection and Adversarial Regularization. 3184-3194 - Zijian Zhang, Xiangyu Zhao, Qidong Liu, Chunxu Zhang, Qian Ma, Wanyu Wang, Hongwei Zhao, Yiqi Wang, Zitao Liu:
PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction. 3195-3205 - Shijie Zhang, Xin Yan, Xuejiao Yang, Binfeng Jia, Shuangyang Wang:
Out of the Box Thinking: Improving Customer Lifetime Value Modelling via Expert Routing and Game Whale Detection. 3206-3215 - Siwei Zhang, Yun Xiong, Yao Zhang, Xixi Wu, Yiheng Sun, Jiawei Zhang:
iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation. 3216-3225 - Moyu Zhang, Xinning Zhu, Chunhong Zhang, Feng Pan, Wenchen Qian, Hui Zhao:
No Length Left Behind: Enhancing Knowledge Tracing for Modeling Sequences of Excessive or Insufficient Lengths. 3226-3235 - Moyu Zhang, Xinning Zhu, Chunhong Zhang, Wenchen Qian, Feng Pan, Hui Zhao:
Counterfactual Monotonic Knowledge Tracing for Assessing Students' Dynamic Mastery of Knowledge Concepts. 3236-3246 - Dongyu Zhang, Liang Wang, Xin Dai, Shubham Jain, Junpeng Wang, Yujie Fan, Chin-Chia Michael Yeh, Yan Zheng, Zhongfang Zhuang, Wei Zhang:
FATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data. 3247-3256 - Chao Zhang, Fangzhao Wu, Jingwei Yi, Derong Xu, Yang Yu, Jindong Wang, Yidong Wang, Tong Xu, Xing Xie, Enhong Chen:
Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement. 3257-3267 - Lei Zhang, Lele Fu, Tong Wang, Chuan Chen, Chuanfu Zhang:
Mutual Information-Driven Multi-View Clustering. 3268-3277 - Shuijing Zhang, Jian Lou, Li Xiong, Xiaoyu Zhang, Jing Liu:
Closed-form Machine Unlearning for Matrix Factorization. 3278-3287 - Haozhen Zhang, Xueting Han, Xi Xiao, Jing Bai:
Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs. 3288-3297 - Xu Zhang, Yongshun Gong, Xinxin Zhang, Xiaoming Wu, Chengqi Zhang, Xiangjun Dong:
Mask- and Contrast-Enhanced Spatio-Temporal Learning for Urban Flow Prediction. 3298-3307 - Weiqi Zhang, Jianfeng Zhang, Jia Li, Fugee Tsung:
A Co-training Approach for Noisy Time Series Learning. 3308-3318 - Duzhen Zhang, Hongliu Li, Wei Cong, Rongtao Xu, Jiahua Dong, Xiuyi Chen:
Task Relation Distillation and Prototypical Pseudo Label for Incremental Named Entity Recognition. 3319-3329 - Qixin Zhang, Zengde Deng, Xiangru Jian, Zaiyi Chen, Haoyuan Hu, Yu Yang:
Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization. 3330-3339 - Xiyuan Zhang, Ranak Roy Chowdhury, Jiayun Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
Unleashing the Power of Shared Label Structures for Human Activity Recognition. 3340-3350 - Junru Zhang, Lang Feng, Yang He, Yuhan Wu, Yabo Dong:
Temporal Convolutional Explorer Helps Understand 1D-CNN's Learning Behavior in Time Series Classification from Frequency Domain. 3351-3360 - Jingdan Zhang, Jiaan Wang, Xiaodan Wang, Zhixu Li, Yanghua Xiao:
AspectMMKG: A Multi-modal Knowledge Graph with Aspect-aware Entities. 3361-3370 - Yifang Zhang, Mingyue Wang, Yu Guo, Fangda Guo:
Towards Dynamic and Reliable Private Key Management for Hierarchical Access Structure in Decentralized Storage. 3371-3380 - Zijian Zhang, Ze Huang, Zhiwei Hu, Xiangyu Zhao, Wanyu Wang, Zitao Liu, Junbo Zhang, S. Joe Qin, Hongwei Zhao:
MLPST: MLP is All You Need for Spatio-Temporal Prediction. 3381-3390 - Qifan Zhang, Shengxin Liu:
Efficient Exact Minimum k-Core Search in Real-World Graphs. 3391-3401 - Xiaohui Zhao, Shuai Wang, Hai Wang, Tian He, Desheng Zhang, Guang Wang:
HST-GT: Heterogeneous Spatial-Temporal Graph Transformer for Delivery Time Estimation in Warehouse-Distribution Integration E-Commerce. 3402-3411 - Kangfei Zhao, Yu Rong, Biaobin Jiang, Jianheng Tang, Hengtong Zhang, Jeffrey Xu Yu, Peilin Zhao:
Geometric Graph Learning for Protein Mutation Effect Prediction. 3412-3422 - Guanhao Zhao, Zhenya Huang, Yan Zhuang, Jiayu Liu, Qi Liu, Zhiding Liu, Jinze Wu, Enhong Chen:
Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems. 3423-3432 - Jin Zhao, Zhixu Li, Yanghua Xiao, Jiaqing Liang, Jingping Liu:
HTMapper: Bidirectional Head-Tail Mapping for Nested Named Entity Recognition. 3433-3443 - Yizheng Zhao:
Highly-Optimized Forgetting for Creating Signature-Based Views of Ontologies. 3444-3452 - Chuang Zhao, Xinyu Li, Ming He, Hongke Zhao, Jianping Fan:
Sequential Recommendation via an Adaptive Cross-domain Knowledge Decomposition. 3453-3463 - Yanjun Zhao, Ziqing Ma, Tian Zhou, Mengni Ye, Liang Sun, Yi Qian:
GCformer: An Efficient Solution for Accurate and Scalable Long-Term Multivariate Time Series Forecasting. 3464-3473 - Tianyi Zhao, Hui Hu, Lu Cheng:
Unveiling the Role of Message Passing in Dual-Privacy Preservation on GNNs. 3474-3483 - Xuhao Zhao, Yanmin Zhu, Chunyang Wang, Mengyuan Jing, Jiadi Yu, Feilong Tang:
Task-Difficulty-Aware Meta-Learning with Adaptive Update Strategies for User Cold-Start Recommendation. 3484-3493 - Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Jiashu Qian, Yao Yang:
Decentralized Graph Neural Network for Privacy-Preserving Recommendation. 3494-3504 - Yuhao Zheng, Lian Zhong, Senzhang Wang, Yu Yang, Weixi Gu, Junbo Zhang, Jianxin Wang:
DiffUFlow: Robust Fine-grained Urban Flow Inference with Denoising Diffusion Model. 3505-3513 - Longfei Zheng, Yingting Liu, Xiaolong Xu, Chaochao Chen, Yuzhou Tang, Lei Wang, Xiaolong Hu:
FedPSE: Personalized Sparsification with Element-wise Aggregation for Federated Learning. 3514-3523 - Zhiwen Zhang, Hongjun Wang, Zipei Fan, Ryosuke Shibasaki, Xuan Song:
Assessing the Continuous Causal Responses of Typhoon-related Weather on Human Mobility: An Empirical Study in Japan. 3524-3533 - Xiaolong Zhong, Hao Miao, Dazhuo Qiu, Yan Zhao, Kai Zheng:
Personalized Location-Preference Learning for Federated Task Assignment in Spatial Crowdsourcing. 3534-3543 - Shuxin Zhong, William Yubeaton, Wenjun Lyu, Guang Wang, Desheng Zhang, Yu Yang:
RLIFE: Remaining Lifespan Prediction for E-scooters. 3544-3553 - Yuqing Zhou, Tianshu Feng, Mingrui Liu, Ziwei Zhu:
A Generalized Propensity Learning Framework for Unbiased Post-Click Conversion Rate Estimation. 3554-3563 - Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Xiwei Xu, Chen Wang, Liming Zhu, Lina Yao:
Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems. 3564-3573 - Jing Zhou, Jiannan Lu, Anas Shallah:
All about Sample-Size Calculations for A/B Testing: Novel Extensions & Practical Guide. 3574-3583 - Qinghai Zhou, Kaize Ding, Huan Liu, Hanghang Tong:
Learning Node Abnormality with Weak Supervision. 3584-3594 - Peilin Zhou, Qichen Ye, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Chenyu You, Sunghun Kim:
Attention Calibration for Transformer-based Sequential Recommendation. 3595-3605 - Wenjie Zhou, Piji Li, Zhaoyang Han, Xiaozhen Lu, Juan Li, Zhaochun Ren, Zhe Liu:
Privacy-Preserving Federated Learning via Disentanglement. 3606-3615 - Ruitao Zhu, Wendong Xiao, Yao Yu, Yizhi Yu, Zhenzhe Zheng, Ke Bu, Dong Li, Fan Wu:
CANDY: A Causality-Driven Model for Hotel Dynamic Pricing. 3616-3625 - Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Qinghua Lu, Jun Shen, Kim-Kwang Raymond Choo:
Improving Adversarial Transferability via Frequency-based Stationary Point Search. 3626-3635 - Zheqing Zhu, Benjamin Van Roy:
Scalable Neural Contextual Bandit for Recommender Systems. 3636-3646 - Lvxing Zhu, Kexin Zhang, Hao Chen, Chao Wei, Weiru Zhang, Haihong Tang, Xiu Li:
HCL4QC: Incorporating Hierarchical Category Structures Into Contrastive Learning for E-commerce Query Classification. 3647-3656 - Zhiyu Zhu, Huaming Chen, Zhibo Jin, Xinyi Wang, Jiayu Zhang, Minhui Xue, Qinghua Lu, Jun Shen, Kim-Kwang Raymond Choo:
FVW: Finding Valuable Weight on Deep Neural Network for Model Pruning. 3657-3666 - Yangfu Zhu, Yuting Wei, Meiling Li, Tingting Zhang, Siqi Wei, Bin Wu:
PCENet: Psychological Clues Exploration Network for Multimodal Personality Assessment. 3667-3676 - Yuchen Zhuang, Xin Shen, Yan Zhao, Chaosheng Dong, Ming Wang, Jin Li, Chao Zhang:
G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer. 3677-3687
Short Papers
- Soheil Abadifard, Sepehr Bakhshi, Sanaz Gheibuni, Fazli Can:
DynED: Dynamic Ensemble Diversification in Data Stream Classification. 3707-3711 - Amin Abolghasemi, Suzan Verberne, Arian Askari, Leif Azzopardi:
Retrievability Bias Estimation Using Synthetically Generated Queries. 3712-3716 - Donghyun Ahn, Minhyuk Song, SeungEon Lee, Yubin Choi, Jihee Kim, Sangyoon Park, Hyunjoo Yang, Meeyoung Cha:
Fine-Grained Socioeconomic Prediction from Satellite Images with Distributional Adjustment. 3717-3721 - Negar Arabzadeh, Radin Hamidi Rad, Maryam Khodabakhsh, Ebrahim Bagheri:
Noisy Perturbations for Estimating Query Difficulty in Dense Retrievers. 3722-3727 - Bradley Ashmore, Lingwei Chen:
HOVER: Homophilic Oversampling via Edge Removal for Class-Imbalanced Bot Detection on Graphs. 3728-3732 - Alkid Baci, Stefan Heindorf:
Accelerating Concept Learning via Sampling. 3733-3737 - Hankyul Baek, Soohyun Park, Joongheon Kim:
Logarithmic Dimension Reduction for Quantum Neural Networks. 3738-3742 - Aitolkyn Baigutanova, Diego Sáez-Trumper, Miriam Redi, Meeyoung Cha, Pablo Aragón:
A Comparative Study of Reference Reliability in Multiple Language Editions of Wikipedia. 3743-3747 - Yuanchen Bei, Hao Chen, Shengyuan Chen, Xiao Huang, Sheng Zhou, Feiran Huang:
Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction. 3748-3752 - Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda:
Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems. 3753-3757 - Thomas Carr, Aidong Lu, Depeng Xu:
Linkage Attack on Skeleton-based Motion Visualization. 3758-3762 - Weiliang Chan, Qianqian Ren:
Region-Wise Attentive Multi-View Representation Learning For Urban Region Embedding. 3763-3767 - Manish Chandra, Debasis Ganguly, Tulika Saha, Iadh Ounis:
'Choose your Data Wisely': Active Learning based Selection with Multi-Objective Optimisation for Mitigating Stereotypes. 3768-3772 - Hsin-Yu Chen, Cheng-Te Li, Ting-Yu Chen:
Semi-supervised Curriculum Ensemble Learning for Financial Precision Marketing. 3773-3777 - Yewang Chen, Weiyao Ye, Guipeng Xv, Chen Lin, Xiaomin Zhu:
TCCM: Time and Content-Aware Causal Model for Unbiased News Recommendation. 3778-3782 - Zhichao Chen, Leilei Ding, Jianmin Huang, Zhixuan Chu, Qingyang Dai, Hao Wang:
Unsupervised Anomaly Detection & Diagnosis: A Stein Variational Gradient Descent Approach. 3783-3787 - Miaoxin Chen, Cao Liu, Boqi Dai, Hai-Tao Zheng, Ting Song, Jiansong Chen, Guanglu Wan, Rui Xie:
Segment Augmentation and Prediction Consistency Neural Network for Multi-label Unknown Intent Detection. 3788-3792 - Qian Chen, Jianjun Li, Zhiqiang Guo, Guohui Li, Zhiying Deng:
Attribute-enhanced Dual Channel Representation Learning for Session-based Recommendation. 3793-3797 - Jiahao Chen, Zitao Liu, Shuyan Huang, Yaying Huang, Xiangyu Zhao, Boyu Gao, Weiqi Luo:
Assessing Student Performance with Multi-granularity Attention from Online Classroom Dialogue. 3798-3802 - Wenzhuo Cheng, Ke Ding, Xin Dong, Yong He, Liang Zhang, Linjian Mo:
MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation. 3803-3807 - Zhangtao Cheng, Wenxue Ye, Leyuan Liu, Wenxin Tai, Fan Zhou:
Enhancing Information Diffusion Prediction with Self-Supervised Disentangled User and Cascade Representations. 3808-3812 - Peng Cheng:
Identify Risky Rules to Reduce Side Effects in Association Rule Hiding. 3813-3817 - Dongjin Choi, Andy Xiang, Ozgur Ozturk, Deep Shrestha, Barry L. Drake, Hamid Haidarian, Faizan Javed, Haesun Park:
Patient Clustering via Integrated Profiling of Clinical and Digital Data. 3818-3822 - Yu Hao Chou, Pu-Jen Cheng:
Incorporating Co-purchase Correlation for Next-basket Recommendation. 3823-3827 - Zhenzhen Chu, Chengyu Wang, Cen Chen, Dawei Cheng, Yuqi Liang, Weining Qian:
Learning Invariant Representations for New Product Sales Forecasting via Multi-Granularity Adversarial Learning. 3828-3832 - Matthew Clifford, Jonathan Erskine, Alexander Hepburn, Peter A. Flach, Raúl Santos-Rodríguez:
Reconciling Training and Evaluation Objectives in Location Agnostic Surrogate Explainers. 3833-3837 - Wei Dai, Yingmin Su, Xiaofeng Pan, Yufeng Wang, Zhenyu Zhu, Nan Xu, Chengjun Mao, Bo Cao:
DPAN: Dynamic Preference-based and Attribute-aware Network for Relevant Recommendations. 3838-3842 - Manas Jyoti Das, Khawar Shehzad, Praveen Rao:
Efficient Variant Calling on Human Genome Sequences Using a GPU-Enabled Commodity Cluster. 3843-3848 - Yilin Ding, Zhen Liu, Hao Hao:
Self-supervised Learning and Graph Classification under Heterophily. 3849-3853 - Guanting Dong, Rumei Li, Sirui Wang, Yupeng Zhang, Yunsen Xian, Weiran Xu:
Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA. 3854-3859 - Boxin Du, Changhe Yuan, Fei Wang, Hanghang Tong:
Geometric Matrix Completion via Sylvester Multi-Graph Neural Network. 3860-3864 - Jeffrey M. Dudek, Weize Kong, Cheng Li, Mingyang Zhang, Michael Bendersky:
Learning Sparse Lexical Representations Over Specified Vocabularies for Retrieval. 3865-3869 - Radwa El Shawi, Dmitri Rozgonjuk:
OnlineAutoClust: A Framework for Online Automated Clustering. 3870-3874 - Björn Engelmann, Timo Breuer, Philipp Schaer:
Simulating Users in Interactive Web Table Retrieval. 3875-3879 - Jinyuan Fang, Zaiqiao Meng, Craig Macdonald:
KGPR: Knowledge Graph Enhanced Passage Ranking. 3880-3885 - Mauzama Firdaus, Gopendra Vikram Singh, Asif Ekbal, Pushpak Bhattacharyya:
Multi-step Prompting for Few-shot Emotion-Grounded Conversations. 3886-3891 - Zihao Gao, Huifang Ma, Yike Wang, Zhixin Li, Liang Chang:
Synergistic Disease Similarity Measurement via Unifying Hierarchical Relation Perception and Association Capturing. 3892-3896 - Madhusudan Ghosh, Debasis Ganguly, Partha Basuchowdhuri, Sudip Kumar Naskar:
Extracting Methodology Components from AI Research Papers: A Data-driven Factored Sequence Labeling Approach. 3897-3901 - Jiaying Gong, Wei-Te Chen, Hoda Eldardiry:
Knowledge-Enhanced Multi-Label Few-Shot Product Attribute-Value Extraction. 3902-3907 - Shengbo Gong, Jiajun Zhou, Chenxuan Xie, Qi Xuan:
Neighborhood Homophily-based Graph Convolutional Network. 3908-3912 - Kalpa Gunaratna, Vijay Srinivasan, Hongxia Jin:
Explainable and Accurate Natural Language Understanding for Voice Assistants and Beyond. 3913-3917 - Yuyao Guo, Xiang Ao, Qiming Liu, Qing He:
Leveraging Post-Click User Behaviors for Calibrated Conversion Rate Prediction Under Delayed Feedback in Online Advertising. 3918-3922 - Shrey Gupta, Pratyush Priyadarshi, Manish Gupta:
Hateful Comment Detection and Hate Target Type Prediction for Video Comments. 3923-3927 - Chaobo He, Junwei Cheng, Quanlong Guan, Xiang Fei, Hanchao Li, Yong Tang:
A Deep Conditional Generative Approach for Constrained Community Detection. 3928-3932 - Rui He, Zeyu Dai, Shan He, Ke Tang:
Perturbation-Based Two-Stage Multi-Domain Active Learning. 3933-3937 - Nicolas Heist, Sven Hertling, Heiko Paulheim:
KGrEaT: A Framework to Evaluate Knowledge Graphs via Downstream Tasks. 3938-3942 - Farinam Hemmatizadeh, Christine Wong, Alice Yu, Hossein Fani:
Latent Aspect Detection via Backtranslation Augmentation. 3943-3947 - Xuyang Hou, Zhe Wang, Qi Liu, Tan Qu, Jia Cheng, Jun Lei:
Deep Context Interest Network for Click-Through Rate Prediction. 3948-3952 - Zhiyuan Hu, Yue Feng, Anh Tuan Luu, Bryan Hooi, Aldo Lipani:
Unlocking the Potential of User Feedback: Leveraging Large Language Model as User Simulators to Enhance Dialogue System. 3953-3957 - Yoonjin Im, Eunseong Choi, Heejin Kook, Jongwuk Lee:
Forgetting-aware Linear Bias for Attentive Knowledge Tracing. 3958-3962 - Shweta Ann Jacob, Paul Louis, Amirali Salehi-Abari:
Stochastic Subgraph Neighborhood Pooling for Subgraph Classification. 3963-3967 - Amit Kumar Jaiswal, Haiming Liu:
Lightweight Adaptation of Neural Language Models via Subspace Embedding. 3968-3972 - Jianye Ji, Jiayan Pei, Shaochuan Lin, Taotao Zhou, Hengxu He, Jia Jia, Ning Hu:
Multi-Granularity Attention Model for Group Recommendation. 3973-3977 - Guyu Jiang, Xiaoyun Li, Rongrong Jing, Ruoqi Zhao, Xingliang Ni, Guodong Cao, Ning Hu:
CSPM: A Contrastive Spatiotemporal Preference Model for CTR Prediction in On-Demand Food Delivery Services. 3978-3982 - Xinke Jiang, Dingyi Zhuang, Xianghui Zhang, Hao Chen, Jiayuan Luo, Xiaowei Gao:
Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction. 3983-3987 - Hanqi Jin, Jiwei Tan, Lixin Liu, Lisong Qiu, Shaowei Yao, Xi Chen, Xiaoyi Zeng:
MSRA: A Multi-Aspect Semantic Relevance Approach for E-Commerce via Multimodal Pre-Training. 3988-3992 - Juho Jung, Chaewon Kang, Jeewoo Yoon, Simon S. Woo, Jinyoung Han:
SAFE: Sequential Attentive Face Embedding with Contrastive Learning for Deepfake Video Detection. 3993-3997 - Jongeun Kim, MinChung Kim, Taehwan Kim:
Effective Slogan Generation with Noise Perturbation. 3998-4002 - Junghurn Kim, Sukwon Yun, Chanyoung Park:
S-Mixup: Structural Mixup for Graph Neural Networks. 4003-4007 - Junghoon Kim, Yeonjun In, Kanghoon Yoon, Junmo Lee, Chanyoung Park:
Class Label-aware Graph Anomaly Detection. 4008-4012 - Dahee Kim, Junghoon Kim, Sungsu Lim, Hyun Ji Jeong:
Exploring Cohesive Subgraphs in Hypergraphs: The (k, g)-core Approach. 4013-4017 - Mirae Kim, Kyubum Hwang, Hayoung Oh, Heejin Kim, Min-Ah Kim:
Can a Chatbot be Useful in Childhood Cancer Survivorship? Development of a Chatbot for Survivors of Childhood Cancer. 4018-4022 - Dain Kim, Jinhyeok Park, Dongwoo Kim:
Test-Time Embedding Normalization for Popularity Bias Mitigation. 4023-4027 - Donggeun Ko, Dongjun Lee, Namjun Park, Kyoungrae Noh, Hyeonjin Park, Jaekwang Kim:
AmpliBias: Mitigating Dataset Bias through Bias Amplification in Few-shot Learning for Generative Models. 4028-4032 - Soo Yong Lee, Juwon Kim, Kiwoong Park, Dong Kuk Ryu, Sang Heun Shim, Kijung Shin:
You're Not Alone in Battle: Combat Threat Analysis Using Attention Networks and a New Open Benchmark. 4033-4037 - Anton Lee, Yaqian Zhang, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer:
Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning. 4038-4042 - Sangyong Lee, Simon S. Woo:
UNDO: Effective and Accurate Unlearning Method for Deep Neural Networks. 4043-4047 - Youngjune Lee, Yeongjong Jeong, Keunchan Park, SeongKu Kang:
MvFS: Multi-view Feature Selection for Recommender System. 4048-4052 - Hojoon Lee, Hawon Jeong, Byungkun Lee, Kyungyup Daniel Lee, Jaegul Choo:
ST-RAP: A Spatio-Temporal Framework for Real Estate Appraisal. 4053-4058 - Dongyuan Li, Shiyin Tan, Yusong Wang, Kotaro Funakoshi, Manabu Okumura:
Temporal and Topological Augmentation-based Cross-view Contrastive Learning Model for Temporal Link Prediction. 4059-4063 - Qi Li, Xingyu Li, Xiaodong Cui, Keke Tang, Peican Zhu:
HEPT Attack: Heuristic Perpendicular Trial for Hard-label Attacks under Limited Query Budgets. 4064-4068 - Yanzeng Li, Sen Hu, Wenjuan Han, Lei Zou:
CORD: A Three-Stage Coarse-to-Fine Framework for Relation Detection in Knowledge Base Question Answering. 4069-4073 - Peiwen Li, Yuan Meng, Xin Wang, Fang Shen, Yue Li, Jialong Wang, Wenwu Zhu:
Causal Discovery in Temporal Domain from Interventional Data. 4074-4078 - Cayon Liow, Cheng-Te Li, Chun-Pai Yang, Shou-De Lin:
Pseudo Triplet Networks for Classification Tasks with Cross-Source Feature Incompleteness. 4079-4083 - Mutong Liu, Yang Liu, Jiming Liu:
Epidemiology-aware Deep Learning for Infectious Disease Dynamics Prediction. 4084-4088 - Leyuan Liu, Junyi Chen, Zhangtao Cheng, Wenxin Tai, Fan Zhou:
Towards Trustworthy Rumor Detection with Interpretable Graph Structural Learning. 4089-4093 - Shuhuan Liu, Xiaoshan Yu, Haiping Ma, Ziwen Wang, Chuan Qin, Xingyi Zhang:
Homogeneous Cohort-Aware Group Cognitive Diagnosis: A Multi-grained Modeling Perspective. 4094-4098 - Peiyang Liu, Jinyu Yang, Lin Wang, Sen Wang, Yunlai Hao, Huihui Bai:
Retrieval-Based Unsupervised Noisy Label Detection on Text Data. 4099-4104 - Han Liu, Hongxiang Lin, Xiaotong Zhang, Fenglong Ma, Hongyang Chen, Lei Wang, Hong Yu, Xianchao Zhang:
Boosting Meta-Learning Cold-Start Recommendation with Graph Neural Network. 4105-4109 - Qi Liu, Jiaxin Mao:
Understanding the Multi-vector Dense Retrieval Models. 4110-4114 - Jialin Liu, Zijian Zhang, Xiangyu Zhao, Jun Li:
Counterfactual Adversarial Learning for Recommendation. 4115-4119 - Shaohua Liu, Yu Qi, Gen Li, Mingjian Chen, Teng Zhang, Jia Cheng, Jun Lei:
STGIN: Spatial-Temporal Graph Interaction Network for Large-scale POI Recommendation. 4120-4124 - Hangchen Liu, Zheng Dong, Renhe Jiang, Jiewen Deng, Jinliang Deng, Quanjun Chen, Xuan Song:
Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting. 4125-4129 - Shu Liu, Jiaheng Wang, Jiamin Chen, Jianliang Gao, Yuhui Zhong:
TemDep: Temporal Dependency Priority for Multivariate Time Series Prediction. 4130-4134 - Yezi Liu:
FairGraph: Automated Graph Debiasing with Gradient Matching. 4135-4139 - Junxu Liu, Jian Lou, Li Xiong, Xiaofeng Meng:
Personalized Differentially Private Federated Learning without Exposing Privacy Budgets. 4140-4144 - Zewen Long, Liang Wang, Qiang Liu, Shu Wu:
Personalized Interest Sustainability Modeling for Sequential POI Recommendation. 4145-4149 - Claudio Lucchese, Giorgia Minello, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri:
Can Embeddings Analysis Explain Large Language Model Ranking? 4150-4154 - Nuoyan Lyu, Bingbing Xu, Fangda Guo, Huawei Shen:
DCGNN: Dual-Channel Graph Neural Network for Social Bot Detection. 4155-4159 - Jiachen Ma, Jing Dai, Yong Liu, Meng Han, Chunyu Ai:
Contrastive Learning for Rumor Detection via Fitting Beta Mixture Model. 4160-4164 - Junyeong Maeng, Kwanseok Oh, Heung-Il Suk:
Age-Aware Guidance via Masking-Based Attention in Face Aging. 4165-4169 - Kaito Majima, Shotaro Ishihara:
Generating News-Centric Crossword Puzzles As A Constraint Satisfaction and Optimization Problem. 4170-4174 - Saurav Manchanda:
Metapath-Guided Data-Augmentation For Knowledge Graphs. 4175-4179 - Shengzhong Mao, Xiao-Jun Zeng:
Learning Visibility Attention Graph Representation for Time Series Forecasting. 4180-4184 - Jordan Massiah, Emine Yilmaz, Yunlong Jiao, Gabriella Kazai:
On the Reliability of User Feedback for Evaluating the Quality of Conversational Agents. 4185-4189 - Ryuta Matsuno, Keita Sakuma:
A Robust Backward Compatibility Metric for Model Retraining. 4190-4194 - En Meng, Yong Liu:
Graph Contrastive Learning with Graph Info-Min. 4195-4199 - Lin Meng, Hesham Mostafa, Marcel Nassar, Xiaonan Zhang, Jiawei Zhang:
Generative Graph Augmentation for Minority Class in Fraud Detection. 4200-4204 - Xu Min, Xiaolu Zhang, Bin Shen, Shuhan Wang, Yong He, Changsheng Li, Jun Zhou:
SeqGen: A Sequence Generator via User Side Information for Behavior Sparsity in Recommendation. 4205-4209 - Tendai Mukande, Esraa Ali, Annalina Caputo, Ruihai Dong, Noel E. O'Connor:
A Flash Attention Transformer for Multi-Behaviour Recommendation. 4210-4214 - Ali Naeim abadi, Mir Tafseer Nayeem, Davood Rafiei:
Product Entity Matching via Tabular Data. 4215-4219 - Yuta Nakamura, Iyad Kanj, Tanu Malik:
Efficient Differencing of System-level Provenance Graphs. 4220-4223 - Vaisnavi Nemala, Phung Lai, NhatHai Phan:
Differential Privacy in HyperNetworks for Personalized Federated Learning. 4224-4228 - Advait Padhye, Shreeja Bhakat, Humaira Firdowse, Atharv Savarkar, Ganesh Ramakrishnan, Kshitij S. Jadhav:
Camaraderie: Content-based Knowledge Transfer for Medical Image Labelling using Supervised Autoencoders in a Decentralized Setting. 4229-4233 - Mao Pan, Wen Shi, Kun Zhou, Zheng Li, Dongyue Wang, Zhuoye Ding, Xiwei Zhao, Sulong Xu:
Satisfaction-Aware User Interest Network for Click-Through Rate Prediction. 4234-4238 - Soohyun Park, Hankyul Baek, Joongheon Kim:
Quantum Split Learning for Privacy-Preserving Information Management. 4239-4243 - Weijieying Ren, Tianxiang Zhao, Wei Qin, Kunpeng Liu:
T-SaS: Toward Shift-aware Dynamic Adaptation for Streaming Data. 4244-4248 - Maciej Rybinski, Vincent Nguyen, Sarvnaz Karimi:
A Self-Learning Resource-Efficient Re-Ranking Method for Clinical Trials Search. 4249-4253 - Shreyas S, Prakash Mandayam Comar, Sivaramakrishnan Kaveri:
Adversarial Density Ratio Estimation for Change Point Detection. 4254-4258 - Keita Sakuma, Ryuta Matsuno, Yoshio Kameda:
Quantitative Decomposition of Prediction Errors Revealing Multi-Cause Impacts: An Insightful Framework for MLOps. 4259-4263 - Sara Salamat, Negar Arabzadeh, Shirin Seyedsalehi, Amin Bigdeli, Morteza Zihayat, Ebrahim Bagheri:
Neural Disentanglement of Query Difficulty and Semantics. 4264-4268 - Mina Samizadeh, Guangmo Tong:
VN-Solver: Vision-based Neural Solver for Combinatorial Optimization over Graphs. 4269-4273 - Guangyuan Shen, Shengjie Sun, Dehong Gao, Duanxiao Song, Libin Yang, Zhen Wang, Yongping Shi, Wei Ning:
EdgeNet : Encoder-decoder generative Network for Auction Design in E-commerce Online Advertising. 4274-4278 - Bin Shen, Jingran Xu, Xu Min, Zeyu Ke, Yong He, Liang Zhang, Xin Dong, Linjian Mo:
DAE: Distribution-Aware Embedding for Numerical Features in Click-Through Rate Prediction. 4279-4283 - Jiasheng Shi, Fu Lin, Weixiong Rao:
Learning to Simulate Complex Physical Systems: A Case Study. 4284-4288 - Aman Sinha, Priyanshu Raj Mall, Dwaipayan Roy:
Findability: A Novel Measure of Information Accessibility. 4289-4293 - Mingyang Song, Huafeng Liu, Liping Jing:
Improving Diversity in Unsupervised Keyphrase Extraction with Determinantal Point Process. 4294-4299 - Xiaojie Sun, Keping Bi, Jiafeng Guo, Xinyu Ma, Yixing Fan, Hongyu Shan, Qishen Zhang, Zhongyi Liu:
Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval. 4300-4304 - Hao-Ru Sung, Ying-Jhe Tang, Yu-Chung Cheng, Pai-Lin Chen, Tsai-Yen Li, Hen-Hsen Huang:
Sequential Text-based Knowledge Update with Self-Supervised Learning for Generative Language Models. 4305-4309 - Xingyu Tan, Jingya Qian, Chen Chen, Sima Qing, Yanping Wu, Xiaoyang Wang, Wenjie Zhang:
Higher-Order Peak Decomposition. 4310-4314 - Ruixiang Tang, Hongye Jin, Mengnan Du, Curtis Wigington, Rajiv Jain, Xia Hu:
Exposing Model Theft: A Robust and Transferable Watermark for Thwarting Model Extraction Attacks. 4315-4319 - Nancy Tyagi, Surjodeep Sarkar, Manas Gaur:
Leveraging Knowledge and Reinforcement Learning for Enhanced Reliability of Language Models. 4320-4324 - Sahil Verma, Ashudeep Singh, Varich Boonsanong, John P. Dickerson, Chirag Shah:
RecRec: Algorithmic Recourse for Recommender Systems. 4325-4329 - Chenhao Wang, Yong Liu, Yan Yang:
Network Embedding with Adaptive Multi-hop Contrast. 4330-4334 - Luyang Wang, Cangcheng Tang, Chongyang Zhang, Jun Ruan, Kai Huang, Jason Jinquan Dai:
Efficient Multi-Task Learning via Generalist Recommender. 4335-4339 - Yuan Wang, Zezhi Shao, Tao Sun, Chengqing Yu, Yongjun Xu, Fei Wang:
Clustering-property Matters: A Cluster-aware Network for Large Scale Multivariate Time Series Forecasting. 4340-4344 - Ta-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna:
Training Heterogeneous Graph Neural Networks using Bandit Sampling. 4345-4349 - Yiling Wu, Xinfeng Zhang, Yaowei Wang:
Adaptive Graph Neural Diffusion for Traffic Demand Forecasting. 4350-4354 - Jia Wu, Zixiao Huang:
Promoting Diversity in Mixed Complex Cooperative and Competitive Multi-Agent Environment. 4355-4359 - Haotian Wu, Bowen Xing, Ivor W. Tsang:
MTKDN: Multi-Task Knowledge Disentanglement Network for Recommendation. 4360-4364 - Youshao Xiao, Shangchun Zhao, Zhenglei Zhou, Zhaoxin Huan, Lin Ju, Xiaolu Zhang, Lin Wang, Jun Zhou:
G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems. 4365-4369 - Jian Xu, Shao-Lun Huang:
A Joint Training-Calibration Framework for Test-Time Personalization with Label Shift in Federated Learning. 4370-4374 - Jie Xu, Chaozhuo Li:
Geometry Interaction Augmented Graph Collaborative Filtering. 4375-4379 - Tianmeng Yang, Min Zhou, Yujing Wang, Zhengjie Lin, Lujia Pan, Bin Cui, Yunhai Tong:
Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning. 4380-4384 - Jie Yang, Soyeon Caren Han, Siqu Long, Josiah Poon, Goran Nenadic:
MC-DRE: Multi-Aspect Cross Integration for Drug Event/Entity Extraction. 4385-4389 - Hansi Yang, Yongqi Zhang, Quanming Yao, James T. Kwok:
Positive-Unlabeled Node Classification with Structure-aware Graph Learning. 4390-4394 - Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu:
Graph-based Alignment and Uniformity for Recommendation. 4395-4399 - Chin-Chia Michael Yeh, Xin Dai, Huiyuan Chen, Yan Zheng, Yujie Fan, Audrey Der, Vivian Lai, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang:
Toward a Foundation Model for Time Series Data. 4400-4404 - Huixin Zhan, Kun Zhang, Zhong Chen, Victor S. Sheng:
Simplex2vec Backward: From Vectors Back to Simplicial Complex. 4405-4409 - Yinan Zhang, Pei Wang, Congcong Liu, Xiwei Zhao, Hao Qi, Jie He, Junsheng Jin, Changping Peng, Zhangang Lin, Jingping Shao:
BI-GCN: Bilateral Interactive Graph Convolutional Network for Recommendation. 4410-4414 - Zhenwei Zhang, Xin Wang, Jingyuan Xie, Heling Zhang, Yuantao Gu:
Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting. 4415-4419 - Zhenyu Zhang, Lei Shen, Yuming Zhao, Meng Chen, Xiaodong He:
POSPAN: Position-Constrained Span Masking for Language Model Pre-training. 4420-4424 - Pengtao Zhang, Zheng Zheng, Junlin Zhang:
FiBiNet++: Reducing Model Size by Low Rank Feature Interaction Layer for CTR Prediction. 4425-4429 - Zhao Zhang, Fuwei Zhang, Fuzhen Zhuang, Yongjun Xu:
Knowledge Graph Error Detection with Hierarchical Path Structure. 4430-4434 - Xuanyu Zhang, Qing Yang:
XuanYuan 2.0: A Large Chinese Financial Chat Model with Hundreds of Billions Parameters. 4435-4439 - Ke Zhang, Jiageng Chen, Zixian Huang, Gong Cheng:
Weight Matters: An Empirical Investigation of Distance Oracles on Knowledge Graphs. 4440-4444 - Chenyu Zhao, Yunjiang Jiang, Yiming Qiu, Han Zhang, Wen-Yun Yang:
Differentiable Retrieval Augmentation via Generative Language Modeling for E-commerce Query Intent Classification. 4445-4449 - Zilong Zhao, Robert Birke, Lydia Y. Chen:
FCT-GAN: Enhancing Global Correlation of Table Synthesis via Fourier Transform. 4450-4454 - Yu Zheng, Xinglin Lian, Zhangxuan Dang, Chunlei Peng, Chao Yang, Jianfeng Ma:
A Semi-Supervised Anomaly Network Traffic Detection Framework via Multimodal Traffic Information Fusion. 4455-4459 - Xiao Zhou, Ran Wang, Haorui Li, Qiang Liu, Xingxing Wang, Dong Wang:
LEAD-ID: Language-Enhanced Denoising and Intent Distinguishing Graph Neural Network for Sponsored Search Broad Retrievals. 4460-4464 - Zhipeng Zhou, Wei Gong, Haoquan Zhou:
Target-oriented Few-shot Transferring via Measuring Task Similarity. 4465-4469
Applied Research Papers
- Sanjay Agrawal, Srujana Merugu, Vivek Sembium:
Enhancing E-commerce Product Search through Reinforcement Learning-Powered Query Reformulation. 4488-4494 - Sojung An:
Nowcast-to-Forecast: Token-Based Multiple Remote Sensing Data Fusion for Precipitation Forecast. 4495-4501 - Aijun Bai, Rolf Jagerman, Zhen Qin, Le Yan, Pratyush Kar, Bing-Rong Lin, Xuanhui Wang, Michael Bendersky, Marc Najork:
Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance. 4502-4508 - Mirela Teixeira Cazzolato, Saranya Vijayakumar, Meng-Chieh Lee, Catalina Vajiac, Namyong Park, Pedro Fidalgo, Agma J. M. Traina, Christos Faloutsos:
CallMine: Fraud Detection and Visualization of Million-Scale Call Graphs. 4509-4515 - Zeyuan Chen, Wei Chen, Jia Xu, Zhongyi Liu, Wei Zhang:
Beyond Semantics: Learning a Behavior Augmented Relevance Model with Self-supervised Learning. 4516-4522 - Zhichao Chen, Leilei Ding, Zhixuan Chu, Yucheng Qi, Jianmin Huang, Hao Wang:
Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data. 4523-4529 - Beomsang Cho, Binh M. Le, Jiwon Kim, Simon S. Woo, Shahroz Tariq, Alsharif Abuadbba, Kristen Moore:
Towards Understanding of Deepfake Videos in the Wild. 4530-4537 - Akash Choudhuri, Hankyu Jang, Alberto M. Segre, Philip M. Polgreen, Kishlay Jha, Bijaya Adhikari:
Continually-Adaptive Representation Learning Framework for Time-Sensitive Healthcare Applications. 4538-4544 - Boxin Du, Robert A. Barton, Grant Galloway, Junzhou Huang, Shioulin Sam, Ismail B. Tutar, Changhe Yuan:
Enhancing Catalog Relationship Problems with Heterogeneous Graphs and Graph Neural Networks Distillation. 4545-4551 - Wei-Wei Du, Wei-Yao Wang, Wen-Chih Peng:
DoRA: Domain-Based Self-Supervised Learning Framework for Low-Resource Real Estate Appraisal. 4552-4558 - Kirstin Early, Neil O'Hare, Christopher C. LuVogt:
Content-Based Email Classification at Scale. 4559-4566 - Chilin Fu, Weichang Wu, Xiaolu Zhang, Jun Hu, Jing Wang, Jun Zhou:
Robust User Behavioral Sequence Representation via Multi-scale Stochastic Distribution Prediction. 4567-4573 - Jingyue Gao, Shuguang Han, Han Zhu, Siran Yang, Yuning Jiang, Jian Xu, Bo Zheng:
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao. 4574-4580 - Yue Gao, Enrico Piovano, Tamer Soliman, Monir Moniruzzaman, Anoop Kumar, Melanie Bradford, Subhrangshu Nandi:
Predicting Interaction Quality of Conversational Assistants With Spoken Language Understanding Model Confidences. 4581-4587 - Zhen Gong, Lvyin Niu, Yang Zhao, Miao Xu, Haoqi Zhang, Zhenzhe Zheng, Zhilin Zhang, Rongquan Bai, Chuan Yu, Jian Xu, Bo Zheng, Fan Wu:
MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising. 4588-4594 - Yuqi Gong, Xichen Ding, Yehui Su, Kaiming Shen, Zhongyi Liu, Guannan Zhang:
An Unified Search and Recommendation Foundation Model for Cold-Start Scenario. 4595-4601 - Wei Guo, Chenxu Zhu, Fan Yan, Bo Chen, Weiwen Liu, Huifeng Guo, Hongkun Zheng, Yong Liu, Ruiming Tang:
DFFM: Domain Facilitated Feature Modeling for CTR Prediction. 4602-4608 - Malay Haldar, Mustafa Abdool, Liwei He, Dillon Davis, Huiji Gao, Sanjeev Katariya:
Learning To Rank Diversely At Airbnb. 4609-4615 - Hongyan Hao, Zhixuan Chu, Shiyi Zhu, Gangwei Jiang, Yan Wang, Caigao Jiang, James Y. Zhang, Wei Jiang, Siqiao Xue, Jun Zhou:
Continual Learning in Predictive Autoscaling. 4616-4622 - Zhiqing Hong, Dongjiang Cao, Haotian Wang, Guang Wang, Tian He, Desheng Zhang:
AutoBuild: Automatic Community Building Labeling for Last-mile Delivery. 4623-4630 - Zhiqing Hong, Haotian Wang, Wenjun Lyu, Hai Wang, Yunhuai Liu, Guang Wang, Tian He, Desheng Zhang:
Urban-scale POI Updating with Crowd Intelligence. 4631-4638 - Jiacen Hu, Zhangming Chan, Yu Zhang, Shuguang Han, Siyuan Lou, Baolin Liu, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng:
PS-SA: An Efficient Self-Attention via Progressive Sampling for User Behavior Sequence Modeling. 4639-4645 - Wei Jiang, Zhongkai Yi, Li Wang, Hanwei Zhang, Jihai Zhang, Fangquan Lin, Cheng Yang:
A Stochastic Online Forecast-and-Optimize Framework for Real-Time Energy Dispatch in Virtual Power Plants under Uncertainty. 4646-4652 - Soo Kyung Kim, Kalai Ramea, Salva Rühling Cachay, Haruki Hirasawa, Subhashis Hazarika, Dipti Hingmire, Peetak Mitra, Philip J. Rasch, Hansi A. Singh:
Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles. 4653-4659 - Lital Kuchy, Ran Levy, Avihai Mejer, Noam Segev, Shunit Agmon, Miriam Farber:
Generating Product Insights from Community Q&A. 4660-4666 - Kushal Kumar, Tarik Arici, Tal Neiman, Jinyu Yang, Shioulin Sam, Yi Xu, Hakan Ferhatosmanoglu, Ismail B. Tutar:
Unsupervised Multi-Modal Representation Learning for High Quality Retrieval of Similar Products at E-commerce Scale. 4667-4673 - Soonwoo Kwon, Sojung Kim, Seunghyun Lee, Jin-Young Kim, Suyeong An, Kyuseok Kim:
Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function Approach. 4674-4680 - Thu Le, Alex Deng:
The Price is Right: Removing A/B Test Bias in a Marketplace of Expirable Goods. 4681-4687 - Jun Li, Ge Zhang:
Fragment and Integrate Network (FIN): A Novel Spatial-Temporal Modeling Based on Long Sequential Behavior for Online Food Ordering Click-Through Rate Prediction. 4688-4694 - Hebin Liang, Zibin Dong, Yi Ma, Xiaotian Hao, Yan Zheng, Jianye Hao:
A Hierarchical Imitation Learning-based Decision Framework for Autonomous Driving. 4695-4701 - Yile Liang, Donghui Li, Jiuxia Zhao, Xuetao Ding, Huanjia Lian, Jinghua Hao, Renqing He:
Enhancing Dynamic On-demand Food Order Dispatching via Future-informed and Spatial-temporal Extended Decisions. 4702-4708 - Qingyun Liu, Zhe Zhao, Liang Liu, Zhen Zhang, Junjie Shan, Yuening Li, Shuchao Bi, Lichan Hong, Ed H. Chi:
Multitask Ranking System for Immersive Feed and No More Clicks: A Case Study of Short-Form Video Recommendation. 4709-4716 - Yice Luo, Guannan Wang, Yongchao Liu, Jiaxin Yue, Weihong Cheng, Binjie Fei:
FAF: A Risk Detection Framework on Industry-Scale Graphs. 4717-4723 - Junyu Luo, Cheng Qian, Xiaochen Wang, Lucas Glass, Fenglong Ma:
pADR: Towards Personalized Adverse Drug Reaction Prediction by Modeling Multi-sourced Data. 4724-4730 - Xuan Ma, Jian Wang, Zhiyuan Chen, Zehua Zhang, Jie He, Changping Peng, Zhangang Lin, Jingping Shao:
Dynamic Group Parameter Modeling for Click-Through-Rate Prediction. 4731-4737 - Nicholas Meisburger, Vihan Lakshman, Benito Geordie, Joshua Engels, David Torres Ramos, Pratik Pranav, Benjamin Coleman, Benjamin Meisburger, Shubh Gupta, Yashwanth Adunukota, Siddharth Jain, Tharun Medini, Anshumali Shrivastava:
BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware. 4738-4744 - Akash Kumar Mohankumar, Bhargav Dodla, Gururaj K, Amit Singh:
Unified Generative & Dense Retrieval for Query Rewriting in Sponsored Search. 4745-4751 - Karishma Mohiuddin, Mirza Ariful Alam, Mirza Mohtashim Alam, Pascal Welke, Michael Martin, Jens Lehmann, Sahar Vahdati:
Retention is All You Need. 4752-4758 - Dmitrii Moor, Yi Yuan, Rishabh Mehrotra, Zhenwen Dai, Mounia Lalmas:
Exploiting Sequential Music Preferences via Optimisation-Based Sequencing. 4759-4765 - Weitong Ou, Bo Chen, Weiwen Liu, Xinyi Dai, Weinan Zhang, Wei Xia, Xuan Li, Ruiming Tang, Yong Yu:
Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising. 4766-4772 - Wentao Ouyang, Xiuwu Zhang, Chaofeng Guo, Shukui Ren, Yupei Sui, Kun Zhang, Jinmei Luo, Yunfeng Chen, Dongbo Xu, Xiangzheng Liu, Yanlong Du:
Masked Multi-Domain Network: Multi-Type and Multi-Scenario Conversion Rate Prediction with a Single Model. 4773-4779 - Enrico Palumbo, Andreas Damianou, Alice Wang, Alva Liu, Ghazal Fazelnia, Francesco Fabbri, Rui Ferreira, Fabrizio Silvestri, Hugues Bouchard, Claudia Hauff, Mounia Lalmas, Ben Carterette, Praveen Chandar, David Nyhan:
Graph Learning for Exploratory Query Suggestions in an Instant Search System. 4780-4786 - Yunzhu Pan, Nian Li, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Yong Li:
Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System. 4787-4793 - Yuecheng Rong, Juntao Yao, Jun Liu, Yifan Fang, Wei Luo, Hao Liu, Jie Ma, Zepeng Dan, Jinzhu Lin, Zhi Wu, Yan Zhang, Chuanming Zhang:
GBTTE: Graph Attention Network Based Bus Travel Time Estimation. 4794-4800 - Pravakar Roy, Chirag Sharma, Chao Gao, Kumarswamy Valegerepura:
Deep Query Rewriting For Geocoding. 4801-4807 - Gayatri Ryali, Shreyas S, Sivaramakrishnan Kaveri, Prakash Mandayam Comar:
TrendSpotter: Forecasting E-commerce Product Trends. 4808-4814 - Paras Sheth, Ahmadreza Mosallanezhad, Kaize Ding, Reepal Shah, John Sabo, Huan Liu, K. Selçuk Candan:
STREAMS: Towards Spatio-Temporal Causal Discovery with Reinforcement Learning for Streamflow Rate Prediction. 4815-4821 - Natalia Silberstein, Or Shoham, Assaf Klein:
Combating Ad Fatigue via Frequency-Recency Features in Online Advertising Systems. 4822-4828 - Karandeep Singh, Yu-Che Tsai, Cheng-Te Li, Meeyoung Cha, Shou-De Lin:
GraphFC: Customs Fraud Detection with Label Scarcity. 4829-4835 - Sambeet Tiady, Anirban Majumder, Deepak Gupta:
PRODIGY: Product Design Guidance at Scale. 4836-4842 - Shangqing Tu, Zheyuan Zhang, Jifan Yu, Chunyang Li, Siyu Zhang, Zijun Yao, Lei Hou, Juanzi Li:
LittleMu: Deploying an Online Virtual Teaching Assistant via Heterogeneous Sources Integration and Chain of Teach Prompts. 4843-4849 - Sally Turutov, Kira Radinsky:
Generating Optimized Molecules without Patent Infringement. 4850-4856 - Muntasir Wahed, Daniel Gruhl, Ismini Lourentzou:
MArBLE: Hierarchical Multi-Armed Bandits for Human-in-the-Loop Set Expansion. 4857-4863 - Zhihao Wen, Yuan Fang, Yihan Liu, Yang Guo, Shuji Hao:
Voucher Abuse Detection with Prompt-based Fine-tuning on Graph Neural Networks. 4864-4870 - Ning Wu, Ming Gong, Linjun Shou, Jian Pei, Daxin Jiang:
RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation. 4871-4878 - Hua Yan, Yingqiang Ge, Haotian Wang, Desheng Zhang, Yu Yang:
Logistics Audience Expansion via Temporal Knowledge Graph. 4879-4886 - Hao Yang, Ziliang Wang, Weijie Bian, Yifan Zeng:
Practice on Effectively Extracting NLP Features for Click-Through Rate Prediction. 4887-4893 - Chen Yang, Jin Chen, Qian Yu, Xiangdong Wu, Kui Ma, Zihao Zhao, Zhiwei Fang, Wenlong Chen, Chaosheng Fan, Jie He, Changping Peng, Zhangang Lin, Jingping Shao:
An Incremental Update Framework for Online Recommenders with Data-Driven Prior. 4894-4900 - Shuai Yang, Lixin Zhang, Feng Xia, Leyu Lin:
Graph Exploration Matters: Improving both Individual-Level and System-Level Diversity in WeChat Feed Recommendation. 4901-4908 - Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Junpeng Wang, Vivian Lai, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang, Jeff M. Phillips:
An Efficient Content-based Time Series Retrieval System. 4909-4915 - Jinhui Yi, Huan Yan, Haotian Wang, Jian Yuan, Yong Li:
DeepSTA: A Spatial-Temporal Attention Network for Logistics Delivery Timely Rate Prediction in Anomaly Conditions. 4916-4922 - Wen Zan, Yaopeng Han, Xiaotian Jiang, Yao Xiao, Yang Yang, Dayao Chen, Sheng Chen:
SPM: Structured Pretraining and Matching Architectures for Relevance Modeling in Meituan Search. 4923-4929 - Beichuan Zhang, Chenggen Sun, Jianchao Tan, Xinjun Cai, Jun Zhao, Mengqi Miao, Kang Yin, Chengru Song, Na Mou, Yang Song:
SHARK: A Lightweight Model Compression Approach for Large-scale Recommender Systems. 4930-4937 - Cong Zhang, Dongyang Liu, Lin Zuo, Junlan Feng, Chao Deng, Jian Sun, Haitao Zeng, Yaohong Zhao:
Multi-gate Mixture-of-Contrastive-Experts with Graph-based Gating Mechanism for TV Recommendation. 4938-4944 - Yifei Zhang, Hua Hua, Hui Guo, Shuangyang Wang, Chongyu Zhong, Shijie Zhang:
3MN: Three Meta Networks for Multi-Scenario and Multi-Task Learning in Online Advertising Recommender Systems. 4945-4951 - Yang Zhang, Yimeng Bai, Jianxin Chang, Xiaoxue Zang, Song Lu, Jing Lu, Fuli Feng, Yanan Niu, Yang Song:
Leveraging Watch-time Feedback for Short-Video Recommendations: A Causal Labeling Framework. 4952-4959 - Jiong Zhang, Yau-Shian Wang, Wei-Cheng Chang, Wei Li, Jyun-Yu Jiang, Cho-Jui Hsieh, Hsiang-Fu Yu:
Build Faster with Less: A Journey to Accelerate Sparse Model Building for Semantic Matching in Product Search. 4960-4966 - Jujia Zhao, Wenjie Wang, Xinyu Lin, Leigang Qu, Jizhi Zhang, Tat-Seng Chua:
Popularity-aware Distributionally Robust Optimization for Recommendation System. 4967-4973 - Zhishan Zhao, Jingyue Gao, Yu Zhang, Shuguang Han, Siyuan Lou, Xiang-Rong Sheng, Zhe Wang, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng:
COPR: Consistency-Oriented Pre-Ranking for Online Advertising. 4974-4980 - Yunfeng Zhao, Xu Yan, Xiaoqiang Gui, Shuguang Han, Xiang-Rong Sheng, Guoxian Yu, Jufeng Chen, Zhao Xu, Bo Zheng:
Entire Space Cascade Delayed Feedback Modeling for Effective Conversion Rate Prediction. 4981-4987 - Jiawei Zheng, Hao Gu, Chonggang Song, Dandan Lin, Lingling Yi, Chuan Chen:
Dual Interests-Aligned Graph Auto-Encoders for Cross-domain Recommendation in WeChat. 4988-4994 - Ming Zhou, Dan Zhang, Yuandong Wang, Yangli-Ao Geng, Jie Tang:
Detecting Social Bot on the Fly using Contrastive Learning. 4995-5001 - Simiao Zuo, Pengfei Tang, Xinyu Hu, Qiang Lou, Jian Jiao, Denis Charles:
DeepTagger: Knowledge Enhanced Named Entity Recognition for Web-Based Ads Queries. 5002-5009
Demo Papers
- Tristan Allard, Louis Béziaud, Sébastien Gambs:
SNAKE Challenge: Sanitization Algorithms under Attack. 5010-5014 - Sebastian Britner, Lorik Dumani, Ralf Schenkel:
AQUAPLANE: The Argument Quality Explainer App. 5015-5020 - Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Kwei-Herng Lai, Daochen Zha, Ruixiang Tang, Fan Yang, Alfredo Costilla-Reyes, Kaixiong Zhou, Xiaoqian Jiang, Xia Hu:
DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. 5021-5025 - Lukas Eder, Ricardo Campos, Adam Jatowt:
Contrastive Keyword Extraction from Versioned Documents. 5026-5030 - Yan Fan, Chengyu Wang, Fan Feng, Hengbin Cui, Yuchuan Wu, Yongbin Li:
Learning What to Ask: Mining Product Attributes for E-commerce Sales from Massive Dialogue Corpora. 5031-5035 - Yang Fan Chiang, Chun-Wei Shen, Jhe-Wei Tsai, Pei-Xuan Li, Tzu-Chang Lee, Hsun-Ping Hsieh:
ParkFlow: Intelligent Dispersal for Mitigating Parking Shortages Using Multi-Granular Spatial-Temporal Analysis. 5036-5040 - Amela Fejza, Pierre Genevès, Nabil Layaïda, Sarah Chlyah:
The µ-RA System for Recursive Path Queries over Graphs. 5041-5045 - Joan Giner-Miguelez, Abel Gómez, Jordi Cabot:
DataDoc Analyzer: A Tool for Analyzing the Documentation of Scientific Datasets. 5046-5050 - Mazhar Hameed, Gerardo Vitagliano, Felix Naumann:
MORPHER: Structural Transformation of Ill-formed Rows. 5051-5055 - Sayed Hoseini, Ahmed Ali, Haron Shaker, Christoph Quix:
SEDAR: A Semantic Data Reservoir for Heterogeneous Datasets. 5056-5060 - Ido Ikar, Amit Somech:
EFFECTS: Explorable and Explainable Feature Extraction Framework for Multivariate Time-Series Classification. 5061-5065 - Yuta Koreeda, Terufumi Morishita, Osamu Imaichi, Yasuhiro Sogawa:
LARCH: Large Language Model-based Automatic Readme Creation with Heuristics. 5066-5070 - Wojciech Kusa, Petr Knoth, Allan Hanbury:
CRUISE-Screening: Living Literature Reviews Toolbox. 5071-5075 - Baudouin Naline, Sandra Garcia-Rodriguez, Karine Zeitouni:
STREAMER 3.0: Towards Online Monitoring and Distributed Learning. 5076-5080 - Yue Pang, Linglin Yang, Lei Zou, M. Tamer Özsu:
gFOV: A Full-Stack SPARQL Query Optimizer & Plan Visualizer. 5081-5085 - Gan Peng, Peng Cai, Kaikai Ye, Kai Li, Jinlong Cai, Yufeng Shen, Han Su:
A Data-Driven Index Recommendation System for Slow Queries. 5086-5090 - Shakshi Sharma, Anwitaman Datta, Vigneshwaran Shankaran, Rajesh Sharma:
Misinformation Concierge: A Proof-of-Concept with Curated Twitter Dataset on COVID-19 Vaccination. 5091-5095 - Pranav Subramaniam, Udayan Khurana, Kavitha Srinivas, Horst Samulowitz:
NumJoin: Discovering Numeric Joinable Tables with Semantically Related Columns. 5096-5100 - Siyi Teng, Jiadong Xie, Mingkai Zhang, Kai Wang, Fan Zhang:
IMinimize: A System for Negative Influence Minimization via Vertex Blocking. 5101-5105 - Sariel Tutay, Amit Somech:
Cluster-Explorer: An interactive Framework for Explaining Black-Box Clustering Results. 5106-5110 - Jianing Wang, Nuo Chen, Qiushi Sun, Wenkang Huang, Chengyu Wang, Ming Gao:
HugNLP: A Unified and Comprehensive Library for Natural Language Processing. 5111-5116 - Heng Yang, Chen Zhang, Ke Li:
PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment Analysis. 5117-5122 - Zesheng Ye, Jing Du, Yao Liu, Yihong Zhang, Lina Yao:
NP-SSL: A Modular and Extensible Self-supervised Learning Library with Neural Processes. 5123-5127 - Biao Yin, Nicholas Josselyn, Ziming Zhang, Elke A. Rundensteiner, Thomas A. Considine, John V. Kelley, Berend C. Rinderspacher, Robert E. Jensen, James F. Snyder:
MOSS: AI Platform for Discovery of Corrosion-Resistant Materials. 5128-5132 - Wei Zhou, Chen Lin, Xuanhe Zhou, Guoliang Li, Tianqing Wang:
Demonstration of ViTA: Visualizing, Testing and Analyzing Index Advisors. 5133-5137 - Zefang Zong, Huan Yan, Hongjie Sui, Haoxiang Li, Peiqi Jiang, Yong Li:
An AI-based Simulation and Optimization Framework for Logistic Systems. 5138-5142
Doctoral Consortium
- Praveen Acharya:
Towards Effective Modeling and Exploitation of Search and User Context in Conversational Information Retrieval. 5161-5164 - Abdelghani Azri:
Towards Improving Accuracy and Computation Cost Optimization of Recommendation Systems. 5165-5168 - Grigor Bezirganyan:
Data and Decision Fusion with Uncertainty Quantification for ML-based Healthcare Decision Systems. 5169-5172 - Dongqi Fu:
Investigating Natural and Artificial Dynamics in Graph Data Mining and Machine Learning. 5173-5176 - Kislay Raj:
A Neuro-symbolic Approach to Enhance Interpretability of Graph Neural Network through the Integration of External Knowledge. 5177-5180 - Omid Shokrollahi:
Intersectional Bias Mitigation in Pre-trained Language Models: A Quantum-Inspired Approach. 5181-5184 - Alberto Veneri:
Explaining Learning to Rank Methods to Improve Them. 5185-5188 - Kuang-Da Wang:
Enhancing Badminton Player Performance via a Closed-Loop AI Approach: Imitation, Simulation, Optimization, and Execution. 5189-5192 - Mingkun Xu:
Exploiting Homeostatic Synaptic Modulation in Spiking Neural Networks for Semi-Supervised Graph Learning. 5193-5195
Tutorial Proposals
- Omar Alonso, Kenneth Church:
Some Useful Things to Know When Combining IR and NLP: the Easy, the Hard and the Ugly. 5196-5199 - Krisztian Balog, ChengXiang Zhai:
Tutorial on User Simulation for Evaluating Information Access Systems. 5200-5203 - Nikos Giatrakos, Elias Alevizos, Antonios Deligiannakis, Ralf Klinkenberg, Alexander Artikis:
Proactive Streaming Analytics at Scale: A Journey from the State-of-the-art to a Production Platform. 5204-5207 - Collin Leiber, Lukas Miklautz, Claudia Plant, Christian Böhm:
Application of Deep Clustering Algorithms. 5208-5211 - Felipe Moraes, Hugo Manuel Proença, Anastasiia Kornilova, Javier Albert, Dmitri Goldenberg:
Uplift Modeling: From Causal Inference to Personalization. 5212-5215 - Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca:
Leveraging Graph Neural Networks for User Profiling: Recent Advances and Open Challenges. 5216-5219 - Heydar Soudani, Evangelos Kanoulas, Faegheh Hasibi:
Data Augmentation for Conversational AI. 5220-5223 - Pengfei Wang, Chenliang Li, Lixin Zou, Zhichao Feng, Kaiyuan Li, Xiaochen Li, Xialong Liu, Shangguang Wang:
Tutorial: Data Denoising Metrics in Recommender Systems. 5224-5227 - Bo Xiong, Mojtaba Nayyeri, Daniel Daza, Michael Cochez:
Reasoning beyond Triples: Recent Advances in Knowledge Graph Embeddings. 5228-5231
Industry Day
- Georgios Balikas:
Comparative Analysis of Open Source and Commercial Embedding Models for Question Answering. 5232-5233 - Indranil Bhattacharya, Ze Ye, Kaushik Pavani, Sunny Dasgupta:
RT2S: A Framework for Learning with Noisy Labels. 5234-5235 - Ikram Boukharouba, Florence Sèdes, Christophe Bortolaso, Florent Mouysset:
From User Activity Traces to Navigation Graph for Software Enhancement: An Application of Graph Neural Network (GNN) on a Real-World Non-Attributed Graph. 5236-5237 - Christoph Dorn, Haikal Pribadi:
Type Theory as a Unifying Paradigm for Modern Databases. 5238-5239 - Roy Eisenstadt, Abedelkader Asi, Royi Ronen:
Comparing Fine-Tuned Transformers and Large Language Models for Sales Call Classification: A Case Study. 5240-5241 - Ling Jiang, Xiaoyu Chu, Saaransh Gulati, Pulkit Garg, Andrew Borthwick, Gang Luo:
Proactive and Automatic Detection of Product Misclassifications at Massive Scale. 5242-5243 - Antonio Maiorino, Zoe Padgett, Chun Wang, Misha Yakubovskiy, Peng Jiang:
Application and Evaluation of Large Language Models for the Generation of Survey Questions. 5244-5245 - Itzik Malkiel, Uri Alon, Yakir Yehuda, Shahar Keren, Oren Barkan, Royi Ronen, Noam Koenigstein:
Harnessing GPT for Topic-Based Call Segmentation in Microsoft Dynamics 365 Sales. 5246-5247 - Michael Miller:
Astrolabe: Visual Graph Database Queries with Tabular Output. 5248 - Priyansh Saxena, Manisha R:
Vigil: Effective End-to-end Monitoring for Large-scale Recommender Systems at Glance. 5249-5250 - Prathyusha Senthil Kumar:
Practical Lessons Learned From Detecting, Preventing and Mitigating Harmful Experiences on Facebook. 5251-5252 - Hacer Turgut, Tan Doruk Yetki, Ömür Bali, Tayfun Arda Yücel:
Prod2Vec-Var: A Session Based Recommendation System with Enhanced Diversity. 5253-5254 - Ze Ye, Dantong Liu, Kaushik Pavani, Sunny Dasgupta:
LAMM: Language Aware Active Learning for Multilingual Models. 5255-5256 - Dell Zhang, Alina Petrova, Dietrich Trautmann, Frank Schilder:
Unleashing the Power of Large Language Models for Legal Applications. 5257-5258
Workshop Proposals
- Simone Avesani, Vincenzo Bonnici, Simone Pernice, Marco Beccuti, Rosalba Giugno:
MODIMO: Workshop on Multi-Omics Data Integration for Modelling Biological Systems. 5259-5262 - Gullal S. Cheema, Sherzod Hakimov, Marc A. Kastner, Noa Garcia:
MUWS'2023: The 2nd International Workshop on Multimodal Human Understanding for the Web and Social Media. 5263-5266 - Zheng Chen, Ziyan Jiang, Fan Yang, Zhankui He, Yupeng Hou, Eunah Cho, Julian J. McAuley, Aram Galstyan, Xiaohua Hu, Jie Yang:
The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models. 5267-5270 - Rajeev Gupta, Srinath Srinivasa:
Workshop on Enterprise Knowledge Graphs using Large Language Models. 5271-5272 - Soyeon Caren Han, Yihao Ding, Siwen Luo, Josiah Poon, HeeGuen Yoon, Zhe Huang, Paul Duuring, Eun-Jung Holden:
Workshop on Document Intelligence Understanding. 5273-5276 - Masoud Makrehchi, Dell Zhang, Alina Petrova, John Armour:
The 3rd International Workshop on Mining and Learning in the Legal Domain. 5277-5280 - Prasenjit Mitra, Shreya Ghosh, Bistra Dilkina, Thomas Müller:
Info-Wild: Knowledge Extraction and Management for Wildlife Conservation. 5281-5284 - Jun Qi, Hongqing Yu, Po Yang, Yun Yang, Zhibo Pang:
IoTBDH-2023: The 5th International Workshop on Internet of Things of Big Data for Healthcare. 5285-5288 - Lianyong Qi, Xuyun Zhang, Xiaolong Xu, Wenwen Gong:
International Workshop on Edge-Cloud Intelligence (ECI@CIKM2023). 5289 - Tulika Saha, Debasis Ganguly, Sriparna Saha, Prasenjit Mitra:
Workshop On Large Language Models' Interpretability and Trustworthiness (LLMIT). 5290-5293 - Shahroz Tariq, Daewon Chung, Simon S. Woo, Youjin Shin:
Anomaly and Novelty detection for Satellite and Drone systems (ANSD '23). 5294-5295 - Arijit Ukil, João Gama, Antonio J. Jara, Leandro Marín:
Knowledge-driven Analytics and Systems Impacting Human Quality of Life- Neurosymbolic AI, Explainable AI and Beyond. 5296-5299 - Wenjie Wang, Yong Liu, Yang Zhang, Weiwen Liu, Fuli Feng, Xiangnan He, Aixin Sun:
The 1st Workshop on Recommendation with Generative Models. 5300-5303 - Xin Xin, Xiangyu Zhao, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang:
DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval. 5304-5307 - Qingpeng Zhang, Jiannan Yang:
Knowledge-enhanced Artificial Intelligence in Drug Discovery (KAIDD). 5308-5310
Resource Papers
- Arian Askari, Mohammad Aliannejadi, Evangelos Kanoulas, Suzan Verberne:
A Test Collection of Synthetic Documents for Training Rankers: ChatGPT vs. Human Experts. 5311-5315 - Hang Dong, Jiaoyan Chen, Yuan He, Ian Horrocks:
Ontology Enrichment from Texts: A Biomedical Dataset for Concept Discovery and Placement. 5316-5320 - Hanyue Du, Yike Zhao, Qingyuan Tian, Jiani Wang, Lei Wang, Yunshi Lan, Xuesong Lu:
FlaCGEC: A Chinese Grammatical Error Correction Dataset with Fine-grained Linguistic Annotation. 5321-5325 - Weronika Lajewska, Krisztian Balog:
Towards Filling the Gap in Conversational Search: From Passage Retrieval to Conversational Response Generation. 5326-5330 - Eric Wonhee Lee, Joyce C. Ho:
PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation Learning. 5331-5335 - Qingquan Li, Yiran Hu, Feng Yao, Chaojun Xiao, Zhiyuan Liu, Maosong Sun, Weixing Shen:
MUSER: A Multi-View Similar Case Retrieval Dataset. 5336-5340 - ChungYi Lin, Shen-Lung Tung, Hung-Ting Su, Winston H. Hsu:
CTCam: Enhancing Transportation Evaluation through Fusion of Cellular Traffic and Camera-Based Vehicle Flows. 5341-5345 - Yijian Liu, Hongyi Zhang, Cheng Yang, Ao Li, Yugang Ji, Luhao Zhang, Tao Li, Jinyu Yang, Tianyu Zhao, Juan Yang, Hai Huang, Chuan Shi:
Datasets and Interfaces for Benchmarking Heterogeneous Graph Neural Networks. 5346-5350 - Meng-Huan Liu, An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen:
ContributionSum: Generating Disentangled Contributions for Scientific Papers. 5351-5355 - Junyu Luo, Zhi Qiao, Lucas Glass, Cao Xiao, Fenglong Ma:
ClinicalRisk: A New Therapy-related Clinical Trial Dataset for Predicting Trial Status and Failure Reasons. 5356-5360 - Steven J. Lynden, Hailemariam Mehari Yohannes, Kyoung-Sook Kim, Adam Jatowt, Akiyoshi Matono, Hai-Tao Yu, Xin Liu, Yijun Duan:
Commonsense Temporal Action Knowledge (CoTAK) Dataset. 5361-5365 - Xueguang Ma, Tommaso Teofili, Jimmy Lin:
Anserini Gets Dense Retrieval: Integration of Lucene's HNSW Indexes. 5366-5370 - Jamie Morris, Zehao Liu, Huizhi Liang, Sidhartha Nagala, Xia Hong:
ThyExp: An explainable AI-assisted Decision Making Toolkit for Thyroid Nodule Diagnosis based on Ultra-sound Images. 5371-5375 - Yogeswar Lakshmi Narayanan, Hossein Fani:
RePair: An Extensible Toolkit to Generate Large-Scale Datasets for Query Refinement via Transformers. 5376-5380 - Eun-Ju Park, Seung-Yeon Back, Jeongho Kim, Simon S. Woo:
KID34K: A Dataset for Online Identity Card Fraud Detection. 5381-5385 - Francesco Pierri, Geng Liu, Stefano Ceri:
ITA-ELECTION-2022: A Multi-Platform Dataset of Social Media Conversations Around the 2022 Italian General Election. 5386-5390 - Ji Qi, Jifan Yu, Teng Tu, Kunyu Gao, Yifan Xu, Xinyu Guan, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li, Jie Tang:
GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation. 5391-5395 - Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng:
OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning. 5396-5400 - Hugo O. Sousa, Ricardo Campos, Alípio Jorge:
TEI2GO: A Multilingual Approach for Fast Temporal Expression Identification. 5401-5406 - Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Dewei Leng, Yanan Niu, Yang Song, Xiao Zhang, Jun Xu:
KuaiSAR: A Unified Search And Recommendation Dataset. 5407-5411 - Yu-Min Tseng, Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen:
DynamicESG: A Dataset for Dynamically Unearthing ESG Ratings from News Articles. 5412-5416 - Xovee Xu, Jiayang Li, Fan Zhou:
MDCC: A Multimodal Dynamic Dataset for Donation-based Crowdfunding Campaigns. 5417-5421
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